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Baker College Click here to chat     2022-2023 Undergraduate and Graduate Catalog Baker College         Jun 18, 2022   2022-2023 Undergraduate and Graduate Catalog  Select a Publication 2022-2023 Student Handbook 2022-2023 Undergraduate and Graduate Catalog 2021-2022 Undergraduate and Graduate Catalog [ARCHIVED CATALOG] 2020-2021 Undergraduate and Graduate Catalog [ARCHIVED CATALOG]      Global Search Publication Search Choose Search Location Select an option Courses Programs Hierarchy Items Other Content Entire Publication Search Keyword Field Whole Word/Phrase Advanced Search Catalog Navigation   Publication Home   Academic Calendar   Academic Welcome Experience   General Education Requirements   Undergraduate Programs   Graduate Programs   Course Descriptions   Campuses   Archived Catalogs / Student Handbooks   My Favorites HELP 2022-2023 Undergraduate and Graduate Catalog Course Descriptions Contract All Courses | Print this Page Facebook this Page (opens a new window) Tweet this Page (opens a new window) Course Filter   Filter this list of courses using course prefix, course code, keywords or any combination. Prefix: Code or Number: Type Keyword or Phrase:   Choose Course Prefix All prefixes… ACC AST BAK BIO BUS CAS CHM CIS COL COM CQI CRJ CS CSC CUL DMS DSL ECE ECN EDU ELECT EN ENG FBM FIN FLEX FSTRK GEO GSD HIS HIT HRM HSC HUM HUS ITS JNYCD LIT MA MATT MGT MIS MKT MNP MTH NET NPMG NUR OCC OTA PHY POL PPM PSY PTA RAD SCI SCM SOC SPK SPN SUR VAS VET WEB WELD WRI WRK Choose Course Number Choose Course Type All types… Accounting Automotive Services Technology Baking and Pastry Biology Business Administration Cardiographic Sonography Chemistry Cisco College Computer Information Systems Computer Science Continuous Quality Improvement Criminal Justice Culinary Diagnostic Sonography Diesel Service Technology Early Childhood Education Economics Education Elective English Entrepreneurship Fast Track Finance Flex Studies Food and Beverage Management Game Software Development Geography Health Information Technology Health Services Administration History Human Resource Management Human Services Humanities Information Technology and Security Journeyman Literature Management Management Information Systems Marketing Mathematics Mechatronics Medical Assisting Microsoft Networking Networking Nursing Occupational Therapy Occupational Therapy Assistant Physical Therapist Assistant Physics Political Science Project Management Psychology Radiologic Technology Science Social Sciences Spanish Speech Supply Chain Management Surgical Technology Vascular Ultrasound Technology Veterinary Technology Web Design Welding Work Experience Writing Choose Keyword Find whole word or phrase only.     Business Administration      BUS 8200 - Professional Residency Credits: 2 Lecture: 30 Lab: 0 The DBA Professional Residency requires students to either attend at least one professional event in the first or second year or participate in one learning opportunity in the workplace. For the workplace activity, the student may serve as a participant or facilitator. The instructor for the course will approve the proposed event or activity. The event or activity will be documented in terms of a plan, an oral and written presentation of the experience that could be considered for conference purposes, and lastly a self-learning reflective essay. Prerequisite(s): BUS 8010   Corequisite(s): None      BUS 8400 - Introduction to Research Methods and Designs Credits: 3 Lecture: 45 Lab: 0 Introduces students to an array of quantitative and qualitative research methods and designs and their appropriate application in empirical research. Topics related to quantitative research include measurement, sampling, hypothesis testing, variables, validity, reliability, and causation. Different quantitative research designs will be covered including experimental and quasi-experimental, survey, field, designs utilizing existing data, and evaluation research. Topics related to qualitative research will also be covered including interviewing, coding, nonrandom sampling, quality of evidence (credibility and dependability). Qualitative designs covered include case study, phenomenological, and grounded theory. The course will serve as a refresher on basic statistical concepts, including descriptive and inferential statistics, and the appropriate use of parametric and nonparametric procedures. Ethics involved in research are covered including the protection of human subjects as required by the Baker College Institutional Review Board (IRB). Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8920   Corequisite(s): None      BUS 8410 - Defining the Dissertation Research Problem and Research Question Credits: 3 Lecture: 45 Lab: 0 Defines the purpose of dissertation studies; produces a clear statement of the research problem based on a detailed review of the literature, and produces research questions to be answered or hypotheses to be tested. Students will include these in a dissertation prospectus, which can be used to select members for their dissertation committee. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8400 , Program Dean/Director approval  Corequisite(s): None      BUS 8600 - Doctoral Specialization Seminar I Credits: 3 Lecture: 45 Lab: 0 Focuses on the first of two doctoral seminars taken in series and focused on your specialization. The primary focus of these two seminars is the successful completion of your Qualifying Paper, which is Chapter I and Chapter II of the dissertation proposal. In this initial doctoral seminar, you will complete Chapter I Introduction and Statement of Problem. Specifically, you will investigate a topic of your choice within your selected field of study. Chapter I includes a definition of the research problem, identification of the research questions, a description of the purpose of the study, and an explanation about its significance. A brief summary of the literature review as well as a description of the research methodology, identification of relevant terminology, and limitations will be included. The seminar will include the development of a bibliography of major theorists or theories in the field of study. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8410   Corequisite(s): None      BUS 8700 - Doctoral Specialization Seminar II Credits: 3 Lecture: 45 Lab: 0 Focuses on the completion of Chapter II or Literature Review. Specifically, you will expound on your research problem by analyzing, comparing, and contrasting major theories relevant to your chosen topic. You will synthesize these concepts to develop a literature review, which provides a connection between the research problem and the research questions. Your Qualifying Paper is completed in this seminar. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8600   Corequisite(s): None      BUS 8800 - Doctoral Specialization Seminar III Credits: 3 Lecture: 45 Lab: 0 Supports the student’s selection of an appropriate design and methodology based on his or her research problem and a comprehensive review of the research design literature. Provides guidance in coordination with the student’s dissertation chair for the development of Chapter 3 Methodology of the dissertation. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8700   Corequisite(s): BUS 8930        BUS 8920 - Comprehensive Essay Credits: 3 Lecture: 45 Lab: 0 Prepares students to complete the Comprehensive Essay at the end of the first year after the completion of BUS8010, BUS8100, BUS8110, BUS8120, BUS8130, and BUS8140. It provides evidence that the student has mastered foundational theories and concepts in the field of business administration, have an interdisciplinary understanding of the complex nature of business problems, and is able to synthesize and analyze scholarly research publications. The essay requires students to summarize the annotations collected in the Reading Asset Library. The annotations are submitted with the essay. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): Program Dean/Director approval or BUS 8010 , BUS 8100 , BUS 8110 , BUS 8140 , BUS 8150    Corequisite(s): None      BUS 8930 - Qualifying Paper Credits: 3 Lecture: 45 Lab: 0 Allows students to prepare a scholarly paper suitable for publication, in order to qualify for the dissertation phase of the DBA program. Normally this occurs at the end of the second year after all your coursework in the program has been completed except for BUS814 Corporate and Personal Ethics and all that remains is the dissertation. The purpose of the paper is to demonstrate mastery of scholarly writing, research methodology, and a depth of knowledge in a field covered by the program. It will provide evidence that the student is able to plan, execute, and apply scholarly research, and be able to communicate management and business theories, research findings, and best practices through scholarly publication. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8700   Corequisite(s): BUS 8800        BUS 8940 - Dissertation Proposal I Credits: 2 Lecture: 30 Lab: 0 Allows students to work toward the completion of their dissertation proposal with the support of their chair and committee. The final dissertation is composed of five chapters (Chapter I Introduction and Statement of the Problem; Chapter II Literature Review; Chapter III Methodology; Chapter IV Results; and Chapter V. Conclusions and Recommendations). The proposal is composed of the first three chapters and must be approved before data can be collected and analyzed. Prerequisite(s): BUS 8800 , BUS 8930   Corequisite(s): None      BUS 8950 - Dissertation Proposal II Credits: 2 Lecture: 30 Lab: 0 Allows students to complete their dissertation proposal with the support of their chair and committee. The final dissertation is composed of five chapters (Chapter I Introduction and Statement of the Problem; Chapter II Literature Review; Chapter III Methodology; Chapter IV Results; and Chapter V. Conclusions and Recommendations). The proposal is composed of the first three chapters and must be approved before data can be collected and analyzed. The proposal oral must be successfully completed to pass the course. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8940   Corequisite(s): None      BUS 8960 - Dissertation I Credits: 2 Lecture: 30 Lab: 0 Allows students to work toward the completion of their dissertation with the support of their chair and committee. A successfully completed dissertation provides evidence that you have the ability to plan, execute, and apply scholarly research, have mastered foundational theories and concepts, and have an in-depth knowledge of theory and practice in one area of specialization. It is also evidence that you are able to conceptualize and carry out research and to communicate the results of that research in a coherent document, which addresses an important problem and makes a significant contribution to the profession’s theory or practice. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): Program Dean/Director approval, BUS 8950   Corequisite(s): None      BUS 8970 - Dissertation II Credits: 2 Lecture: 30 Lab: 0 Allows students to continue to work toward the completion of their dissertation with the support of their chair and committee. A successfully completed dissertation provides evidence that you have the ability to plan, execute, and apply scholarly research, have mastered foundational theories and concepts, and have an in-depth knowledge of theory and practice in one area of specialization. It is also evidence that you are able to conceptualize and carry out research and to communicate the results of that research in a coherent document, which addresses an important problem and makes a significant contribution to the profession’s theory or practice. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8950   Corequisite(s): None      BUS 8980 - Dissertation III Credits: 2 Lecture: 30 Lab: 0 Allows students to continue to work toward the completion of their dissertation with the support of their chair and committee. A successfully completed dissertation provides evidence that you have the ability to plan, execute, and apply scholarly research, have mastered foundational theories and concepts, and have an in-depth knowledge of theory and practice in one area of specialization. It is also evidence that you are able to conceptualize and carry out research and to communicate the results of that research in a coherent document, which addresses an important problem and makes a significant contribution to the profession’s theory or practice. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8950    Corequisite(s): None      BUS 8990 - Dissertation IV Credits: 2 Lecture: 30 Lab: 0 Allows students to continue to work toward the completion of their dissertation with the support of their chair and committee. A successfully completed dissertation provides evidence that you have the ability to plan, execute, and apply scholarly research, have mastered foundational theories and concepts, and have an in-depth knowledge of theory and practice in one area of specialization. It is also evidence that you are able to conceptualize and carry out research and to communicate the results of that research in a coherent document, which addresses an important problem and makes a significant contribution to the profession’s theory or practice. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8950   Corequisite(s): BUS 8980        BUS 9000 - Dissertation V Credits: 2 Lecture: 30 Lab: 0 Allows students to continue to work toward the completion of their dissertation with the support of their chair and committee. A successfully completed dissertation provides evidence that you have the ability to plan, execute, and apply scholarly research, have mastered foundational theories and concepts, and have an in-depth knowledge of theory and practice in one area of specialization. It is also evidence that you are able to conceptualize and carry out research and to communicate the results of that research in a coherent document, which addresses an important problem and makes a significant contribution to the profession’s theory or practice. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 8960 , BUS 8970 , BUS 8980 , BUS 8990      Corequisite(s): None      BUS 9010 - Dissertation VI Credits: 2 Lecture: 30 Lab: 0 Allows students to successfully complete their dissertation with the support of their chair and committee. A successfully completed dissertation provides evidence that you have the ability to plan, execute, and apply scholarly research, have mastered foundational theories and concepts, and have an in-depth knowledge of theory and practice in one area of specialization. It is also evidence that you are able to conceptualize and carry out research and to communicate the results of that research in a coherent document, which addresses an important problem and makes a significant contribution to the profession’s theory or practice. The dissertation must be successfully completed and submitted to UMI to pass the course. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): BUS 9000   Corequisite(s): None Cardiographic Sonography      CAS 1010A - Noninvasive Cardiology Credits: 5 Lecture: 60 Lab: 0 Provides an overview of non-invasive cardiac testing including EKG technology, use of the EKG machine and patient hook-up. EKG focus is on understanding and interpreting basic cardiac arrhythmias including sinus, atrial, junctional, and ventricular with an introduction to infarction and the 12-lead EKG. Additional topics include stress testing, blood pressure, auscultation, cardiac embryology, pacemakers and basic hemodynamics. 60 hours of lecture and 30 hours of lab. Must complete with a B- or better. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): CAS 1010L        CAS 1010L - Noninvasive Cardiology Lab Credits: 0 Lecture: 0 Lab: 30 Accompanies the course with the same number. 60 hours of lecture and 30 hours of lab are required. Prerequisite(s): None Corequisite(s): CAS 1010A       CAS 1050 - Introduction to Cardiac Sonography Credits: 6 Lecture: 60 Lab: 0 Presents principles and techniques of cardiac sonography with a focus on cardiac anatomy and the cardiac cycle. Students will learn to recognize normal anatomy on 2D and M-mode images. Students will learn basic EKG interpretation and arrythmias. Scanning techniques will be practiced in a laboratory setting. Must complete with a B- or higher. 60 hours of lecture and 60 hours of lab are required. Prerequisite(s): Admission into the Cardiac Sonography program. Corequisite(s): CAS 1050L        CAS 1050L - Introduction to Cardiac Sonography Lab Credits: 0 Lecture: 0 Lab: 60 Accompanies lecture course with same name. 60 hours of lecture and 60 hours of lab are required.  Prerequisite(s): Admission into the Cardiac Sonography program. Corequisite(s): CAS1050      CAS 2010A - Cross Sectional Sonography Credits: 5 Lecture: 75 Lab: 0 Presents information to students relative to both the normal body structure and the pathologic changes seen in the cardiac ultrasound imaging planes. This course will utilize textbook material, slides, scan planes, and various echo modes specific to the echocardiographic exam. Must complete with a B- or better. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): None      CAS 2050B - Clinical Affiliation I Credits: 4 Lecture: 0 Lab: 0 Provides an opportunity for learning basic skills and the application of previous coursework within the cardiac echo setting. This rotation will focus on non-invasive testing procedures and the performance of a basic echo protocol. This course will require students to observe and practice while under supervision. Additional lab time is required for students to share clinical experiences and perform hands-on skills with other students. This is a 16-week clinical experience where students will complete a minimum of 180 clinical hours and 30 hours of lab hours. Must complete with a B- or better. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): CAS 2050L        CAS 2050L - Clinical Affiliation I Lab Credits: 0 Lecture: 0 Lab: 30 Accompanies the course with the same number. 180 hours of clinical experience and 30 lab hours are Prerequisite(s): None Corequisite(s): CAS 2050B       CAS 2110A - Cardiac Valve Disease in Sonography Credits: 4 Lecture: 60 Lab: 0 Provides an in-depth study of human anatomy and physiology as it related to ultrasound and cardiovascular disease with a focus on valvular disease and the aorta. 60 hours of lecture are required. Must complete with a B- or better. Prerequisite(s): Accepted into the program Corequisite(s): CAS 2050B       CAS 2150 - Fundamentals of Cardiac Sonography Credits: 13 Lecture: 90 Lab: 0 Provides students with an in-depth study of valvular and aortic pathology with an emphasis on advanced hemodynamics and doppler. Students will learn to recognize and assess by echo the various valvular and aortic pathologies. Students will practice scanning skills in lab. Students will be expected to show competence in performing a limited echo with 2D views, M-mode, measurements and basic doppler. Students will apply knowledge gained in lecture and lab in a healthcare setting during clinicals. 90 hours of lecture; 60 hours of lab and 248 clinical hours are required. Must complete with a B- or better. Prerequisite(s): CAS 1050 , CAS 1050L   Corequisite(s): CAS 2150L , CAS 2150P        CAS 2150L - Fundamentals of Cardiac Sonography Lab Credits: 0 Lecture: 0 Lab: 60 Accompanies lecture course with same name. 90 hours of lecture, 60 hours of lab and 248 hours of clinical are required.  Prerequisite(s): CAS 1050 , CAS 1050L   Corequisite(s): CAS 2150 , CAS 2150P        CAS 2150P - Fundamentals of Cardiac Sonography Clinical Credits: 0 Lecture: 0 Lab: 0 Accompanies lecture course with same name. 90 hours of lecture, 60 hours of lab and 248 hours of clinical. Prerequisite(s): CAS 1050 , CAS 1050L    Corequisite(s): CAS 2150 , CAS 2150L         CAS 2210A - Cardiac Ventricular Disease in Sonography Credits: 4 Lecture: 60 Lab: 0 Provides an in-depth study of human physiology as it relates to ultrasound cardiovascular disease with a focus on pericardial and ventricular disease. 60 hours of lecture are required. Must complete with a B- or better. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CAS 2110A   Corequisite(s): CAS 2310L , CAS 2310 , CAS 2610        CAS 2250 - Advanced Cardiac Sonography Credits: 13 Lecture: 75 Lab: 0 Focuses on Advanced Cardiac Ultrasound Techniques and Disease States. Covers diastology, ventricular disease, pericardial disease, congenital disease and cardiac masses. Advanced techniques of contrast, 3D, strain and stress echo will be introduced. 75 hours of lecture, 60 hours of Lab and 320 Clinical hours will be required. Prerequisite(s): CAS 2150 , CAS 2150L , CAS 2150P     Corequisite(s): CAS 2250L , CAS 2250P        CAS 2250L - Advanced Cardiac Sonography Lab Credits: 0 Lecture: 0 Lab: 60 This lab accompanies the lecture course with the same number. 75 hours of lecture, 60 hours of lab and 320 clinical hours are required.  Prerequisite(s): CAS 2150 , CAS 2150L , CAS 2150P     Corequisite(s): CAS 2250 , CAS 2250P        CAS 2250P - Advanced Cardiac Sonography Clinical Credits: 0 Lecture: 0 Lab: 0 This clinical accompanies the lecture course with the same number. 75 hours of lecture, 60 hours of lab, and 320 clinical hours are required.  Prerequisite(s): CAS 2150 , CAS 2150L , CAS 2150P     Corequisite(s): CAS 2250 , CAS 2250L         CAS 2310 - Clinical Affiliation II Credits: 6 Lecture: 0 Lab: 0 Provides a continued opportunity to enhance basic scanning skills and application of ongoing coursework within the cardiac echo setting. Requires students to observe and practice while under supervision. Additional lab time is required for students to share clinical experiences and perform hands-on skills with other students. This second echo rotation will focus on advanced skills and performing complete echo studies, including pathology protocols. This 16-week clinical experience. 355 hours of clinical experience and 30 lab hours are required. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CAS 2050B   Corequisite(s): CAS 2310L , CAS 2610        CAS 2310L - Clinical Affiliation II Lab Credits: 0 Lecture: 0 Lab: 75 Accompanies the course with the same number. 355 hours of clinical experience and 30 lab hours are required. Prerequisite(s): None Corequisite(s): CAS 2210A , CAS 2310 , CAS 2610        CAS 2410 - Clinical Affiliation III Credits: 3 Lecture: 0 Lab: 0 Provides a continued opportunity to enhance basic scanning skills and application of ongoing coursework within the cardiac echo setting. Requires students to observe and practice while under supervision. Additional lab time is required for students to share clinical experiences and perform hands-on skills with other students. This second echo rotation will focus on advanced skills and performing complete echo studies, including pathology protocols. This is a 12-week course where students will complete a minimum of 120 clinical hours and 30 lab hours. Students must achieve 80% or better in all coursework and 80% or better on all evaluations to receive credit for this course. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CAS 2310 , CAS 2310L   Corequisite(s): CAS 2410L        CAS 2410L - Clinical Affiliation III Lab Credits: 0 Lecture: 0 Lab: 30 Accompanies the course with the same number. 120 clinical hours and 30 lab hours are required. Prerequisite(s): CAS 2310 , CAS 2310L   Corequisite(s): CAS 2410L      CAS 2610 - Advanced Disease and Technologies Credits: 3 Lecture: 45 Lab: 0 Focuses on advanced cardiac ultrasound, congenital heart disease and introduces new technologies in the profession, including 3D ultrasound, contrast, stress echo and tissue Doppler technology. Must complete with a B- or better. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): CAS 2210A , CAS 2310 , CAS 2310L        CAS 2910A - Cardiac Sonography Board Review Credits: 3 Lecture: 45 Lab: 0 Provides students with a review of all content areas in preparation for the certification examination. This is the curriculum capstone course. Must complete with a B- or better. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): None      CAS 2950 - Cardiac Sonography Capstone Credits: 5 Lecture: 30 Lab: 0 Prepares students to sit for Adult Echo ARDMS certification examination. This is a capstone course in program. Students will complete full patient echo in clinical setting. 30 hours of lecture and 132 clinical hours are required. Prerequisite(s): CAS 2250 , CAS 2250L , CAS 2250P     Corequisite(s): CAS 2950P        CAS 2950P - Cardiac Sonography Capstone Clinical Credits: 0 Lecture: 0 Lab: 0 This clinical accompanies the lecture course with the same number. 30 hours of lecture and 132 hours of clinical are required.  Prerequisite(s): CAS 2250 , CAS 2250L , CAS 2250P   Corequisite(s): CAS 2950   Chemistry      CHM 2310 - Biochemistry Credits: 3 Lecture: 45 Lab: 0 Provides an overview of biochemical structures and reactions that occur in living systems. Emphasis is placed on the areas of energy, proteins, and catalysis as well as metabolism and molecular genetics. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): MTH 1010  or MTH 1110   Corequisite(s): None      CHM 2460 - General Chemistry Credits: 4 Lecture: 45 Lab: 0 Introduces students to general chemical principles, particularly emphasizing periodic properties, fundamental chemical calculations, formulas, equations, bonding, and nomenclature. Also introduced are molecular structures, chemical equilibrium, the chemistry of solutions and solubility, reduction and oxidation reactions, as well as, acids and bases. Students develop selected chemistry lab skills through the practical application of techniques and procedures. 45 hours of lecture and 30 hours of lab are required. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): MTH 1010  or MTH 1110   Corequisite(s): CHM 2460L        CHM 2460L - General Chemistry Lab Credits: 0 Lecture: 0 Lab: 30 Accompanies the course with the same number. 45 hours of lecture and 30 hours of lab are required. Prerequisite(s): MTH 1010  or MTH 1110   Corequisite(s): CHM 2460   Cisco      CSC 2010A - CISCO Networking I Credits: 3 Lecture: 45 Lab: 0 Covers the architecture, structure, functions and components of the Internet and other computer networks. Students achieve a basic understanding of how networks operate and how to build simple local area networks (LAN), perform basic configurations for routers and switches, and implement Internet Protocol (IP). Click here to access the Student Learning Outcomes for this course. Prerequisite(s): NET 1010   Corequisite(s): None      CSC 2020A - CISCO Networking II Credits: 3 Lecture: 45 Lab: 0 Covers the architecture, components, and operations of routers and switches in small networks and introduces wireless local area networks (WLAN) and security concepts. Students learn how to configure and troubleshoot routers and switches for advanced functionality using security best practices and resolve common issues with protocols in both IPv4 and IPv6 networks. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CSC 2010A   Corequisite(s): None      CSC 2030 - CISCO Networking III Credits: 3 Lecture: 45 Lab: 0 Covers the architecture, components, operations, and security to scale for large, complex networks, including wide area network (WAN) technologies. The course emphasizes network security concepts and introduces network virtualization and automation. Students learn how to configure, troubleshoot, and secure enterprise network devices and understand how application programming interfaces (API) and configuration management tools enable network automation. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CSC 2020A   Corequisite(s): None College      COL 2010 - Introduction to Interdisciplinary Studies Credits: 3 Lecture: 45 Lab: 0 Introduces students to an interdisciplinary approach to describing, analyzing, and researching current themes, problems, and projects. Students will engage in reflective, critical reading and writing on interdisciplinary topics and be able to connect their academic pursuits with their professional interests. This course will also help to prepare students for the research, writing, and oral communication tasks found in advanced coursework. Prerequisite(s): COM 1020   Corequisite(s): None      COL 4910A - General Studies Capstone Credits: 3 Lecture: 45 Lab: 0 This capstone course gives students the opportunity to synthesize knowledge and skills gained during their college career. The culminating project for this course is a proposal. The proposal will explore a topic of interest emerging from a student’s individualized program of study and will incorporate theory, research and practical experience. Prerequisite(s): COL 2010 , HUM 3910    Corequisite(s): None Computer Information Systems      CIS 1110A - Computer Operating Systems and Maintenance Credits: 3 Lecture: 45 Lab: 0 Introduces computer operating systems and maintenance concepts. Students will study the Microsoft Windows family of operating systems and will receive a brief introduction to Linux. This course will assist students in their preparation for the CompTIA A+ Essentials Exam. 45 hours of lecture are required. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): None      CIS 2210 - Database Management and Design Credits: 3 Lecture: 45 Lab: 0 Introduces students to the underlying principles of information and database structure in electronic database management systems. Students will be introduced to types of information, table structure, features of a relational database, basic concepts of database design and normalization, and basic overviews of the roles of database administrators and professionals. Students will also be introduced to introductory SQL commands using a command line and existing databases. Expands on the concepts learned in the introductory course in database creation by introducing students to higher levels of database development and computer science concepts. Students learn SQL in order to study the manipulation of a relational database. This course also includes a survey of database platforms. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 1110A  or CS 1110A   Corequisite(s): None      CIS 2310 - Advanced RPG IV Credits: 3 Lecture: 45 Lab: 0 Focuses on advanced language features using the RPG IV language. Students are also introduced to the RPG II and RPG III languages. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 1310   Corequisite(s): None      CIS 2410 - Intermediate Spreadsheets Credits: 3 Lecture: 45 Lab: 0 Explores further the features of spreadsheets. Topics include a more in-depth study of spreadsheet functions, database techniques, graphing, and an introduction to macros. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): None      CIS 2450 - Intermediate Database Management Credits: 3 Lecture: 45 Lab: 0 Provides an intermediate level of study of personal and/or business database applications including relational database structure and theory, the structure and maintenance of tables, queries, forms, and reports, and an introduction to macros and switchboards. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 2210   Corequisite(s): None      CIS 2510 - Systems Development Methods Credits: 3 Lecture: 45 Lab: 0 Presents traditional methodologies of system analysis, design, and implementation along with recent developments in the field providing a total approach to information systems development. This course focuses on how to develop information systems in an engineered, disciplined manner utilizing real-world situations and applications. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): None      CIS 2610 - Visual BASIC Credits: 3 Lecture: 45 Lab: 0 Introduces object-oriented programming design using Visual BASIC.NET for Windows. Students will learn the tools and methods used to analyze real-life problems and develop programs that address those problems. BASIC language has been a long-standing standard for learning programming. Visual BASIC.NET builds on this tradition plus introduces students to the powerful tools of object-oriented programming that have fast become a standard in most Windows programming languages. Continues the study of advanced methods of writing Object-Oriented/Event-Driven (OOED) applications using Visual BASIC.NET. Using realistic case studies, students will exhibit their ability to write code for variables, selection structure, repetition, sequential access files, dialog boxes, error trapping, viewing and manipulating databases, and two-dimensional arrays. Students will also demonstrate their ability to work with a team to design, create, test, debug, document, and present an advanced, multi-form Visual Basic application that incorporates multiple concepts. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 1110    Corequisite(s): None      CIS 2750 - Securing Information Systems Credits: 3 Lecture: 45 Lab: 0 Prepares students to protect private information systems from internal and external security threats. Discusses security holes in common Internet services and how to proactively defend against internal and external attacks. Discusses the philosophies of various security techniques, access lists, authentication, and general security policy. Prerequisite(s): NET 1010   Corequisite(s): None      CIS 3010 - Computer Architecture Credits: 3 Lecture: 45 Lab: 0 Introduces the computer system architecture and organization, including its major components, processor, memory, and I/O, and their interconnections. Summarizes key characteristics of memory systems and properties of different memory types. Explains I/O modules. Covers data representation, computer arithmetic and digital logic. Prerequisite(s): CIS 1110A , CS 1110A , MTH 2410    Corequisite(s): None      CIS 3310 - Introduction to Cloud Computing and Security Credits: 3 Lecture: 45 Lab: 0 Introduces the core concepts of cloud computing, storage and security. Students will become familiar with various domains of cloud computing, including computing, storage, security, provisioning, applications and economic aspects. Students will assess how cloud computing is implemented in government and commercial sectors. Different types of cloud computing platforms such as those provided by Google, Amazon and Microsoft will be discussed. Prerequisite(s): CIS 2210 , NET 1010    Corequisite(s): None      CIS 3510 - System Modeling and Design Credits: 3 Lecture: 45 Lab: 0 Helps students gain the knowledge and skills required to design databases and information systems for the Web. Includes the development of data models including how to organize the modeling task, manage compromises, design for flexibility, achieve basic and advanced normalization, and develop and use generic models. Explains how to model a problem domain by abstracting objects, attributes, and relationships. Describes object-oriented approaches to model the dynamic behavior of a system in terms of state and process models. Students will construct data and object models using Entity-Relationship (ER), Unified Modeling Language (UML), and other techniques. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 2210   Corequisite(s): None      CIS 3710 - Introduction to Healthcare Informatics Credits: 3 Lecture: 45 Lab: 0 Explores the integration of health care practice with computer technology and information science. Students will identify, gather, process, and manage information obtained and accessed via advanced information technology. Issues related to the protection of privacy, confidentiality, ethics, and security of information in the healthcare environment will be evaluated. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None Corequisite(s): None      CIS 4010 - Advanced Computer Architecture Credits: 3 Lecture: 45 Lab: 0 Continues the study of computer architecture with processor structure and function, focusing on the x86 and ARM processors. Discusses instruction sets and assembly language. Examines performance issues and improvements for RISC machines, parallel processing and multicore computers. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 3010   Corequisite(s): None      CIS 4210 - Database Administration I Credits: 3 Lecture: 45 Lab: 0 Exposes students to database administration and the duties of a database administrator (DBA) to include database monitoring, backup and recovery, troubleshooting, and tuning for reliability and performance. Students will install, configure, and maintain an RDBMS including security, backup and recovery operations, and performance tuning. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 2210   Corequisite(s): None      CIS 4220 - Database Administration II Credits: 3 Lecture: 45 Lab: 0 Continues the database administration tasks in the introductory/previous course with a focus on backup and recovery tools and techniques, archiving, loading and transporting data, network administration, and server-side and client-side configuration. Prerequisite(s): CIS 4210  Corequisite(s): None      CIS 4310 - Enterprise Architecture Credits: 3 Lecture: 45 Lab: 0 Addresses the alignment between business and technology with an emphasis on the use of technology by different organizational units. Decision support systems, enterprise systems, business process reengineering, and knowledge management will be discussed. The advantages and challenges of each system will be evaluated along with system development and implementation strategies. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 3510   Corequisite(s): None      CIS 4410 - IS Strategy, Management, and Acquisition Credits: 3 Lecture: 45 Lab: 0 Addresses the strategic function of an enterprise and the role information systems plays in it. It develops the ability to analyze situations and develop appropriate technology solutions to deal with a variety of business situations. It examines how technology and telecommunications systems enable businesses to succeed in a global marketplace. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 4310   Corequisite(s): None      CIS 4950 - Special Topics in Information Systems Credits: 3 Lecture: 45 Lab: 0 Focuses on selected topics of current interest in information systems. Recent development in systems, initiatives and technology related to the information systems field will be discussed. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): None  Corequisite(s): None      CIS 4990A - Senior Project Credits: 3 Lecture: 45 Lab: 0 Examines the system development process as a whole for the Information Systems field. As part of this course, students will complete a capstone project that examines the use and application of an information system for an organization. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 4310   Corequisite(s): None Computer Science      CS 1110A - Programming in Python Credits: 3 Lecture: 45 Lab: 0 Introduces students to programming concepts and program development using Python. Covers data representation, variables, operators, control structures, data structures, functions and algorithms. Students learn to develop codes to solve problems using an Integrated Development Environment. Prerequisite(s): None Corequisite(s): MTH 1010        CS 1650 - Python Programming Credits: 3 Lecture: 45 Lab: 0 Explores program design and development using Python. Students will demonstrate the ability to use Python to design solutions to problems and develop object-oriented applications. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 1110A   Corequisite(s): None      CS 2010 - Net-centric Computing Credits: 3 Lecture: 45 Lab: 0 Examines the elements of Net-Centric Computing such as global communication, networking, and the internet. Explore the technologies used to build Web 2.0 dynamic applications that work on desktop and mobile devices. Analyze the security issues and solutions that apply to Net-Centric Computing.  Prerequisite(s): CS 1110A   Corequisite(s): None      CS 2150 - C++ Programming Credits: 3 Lecture: 45 Lab: 0 Introduces program design and development in the C++ language. Uses Microsoft Visual C++ to provide students with experience using visual development tools. Students will demonstrate the ability to use C++ to design solutions to problems, modify existing C++ programs, and develop complex object-oriented applications. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): EGR 2710  or CS 1110A , MTH 1110   Corequisite(s): None      CS 2410 - Java Programming Credits: 3 Lecture: 45 Lab: 0 Throughout this course you will be introduced to fundamental programming concepts using the Java Programming language. We will start out by receiving an overview of appropriate software development processes required to analyze and solve a problem using a process-based approach. You will then be introduced to the basics of object-oriented programming concepts using the Java programming language. You will learn a number of important concepts, including a grasp of basic data types, programming control structures, basic data structures and algorithmic processes. Specifically, you will gain an understanding of developing programs with a focus on design structure, decision-making, utilizing loops, arrays and objects to create a software program. Prerequisite(s): CS 1110A   Corequisite(s): None      CS 2420 - Advanced Java Programming Credits: 3 Lecture: 45 Lab: 0 Continues the use of the Java programming language for developing applications. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 2410   Corequisite(s): None      CS 3110 - C# Programming Credits: 3 Lecture: 45 Lab: 0 Introduces students to program design and development using C#. Students will recognize and interpret basic concepts, types, variables, conversions, expressions, statements, namespaces, structs, arrays, interfaces and attributes of C# programming language. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 2150   Corequisite(s): None      CS 3210 - Data Structures and Algorithms I Credits: 3 Lecture: 45 Lab: 0 Introduces concepts and techniques for the implementation of data structures and the design and analysis of computer algorithms. Topics include abstract data types and algorithm development using C++. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 2150   Corequisite(s): None      CS 3220 - Data Structures and Algorithms II Credits: 3 Lecture: 45 Lab: 0 Expands on the concepts begun in Data Structures and Algorithms I, including stacks, queues, trees, and binary trees as fundamental conceptual structures of data. Various physical implementations for each conceptual view are examined with emphasis on the concept of abstract data types. Algorithm development continues with coverage of methods solving recurrences, divide-and-conquer algorithms, dynamic programming, greedy algorithms, and graph algorithms. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 3210   Corequisite(s): None      CS 3310 - Application Security Practices Credits: 3 Lecture: 45 Lab: 0 Provides students with the ability to recognize, design, and build software security into project development. Strategies and methods of preventing attacks and mitigating exploits, focusing on threat modeling analysis and best security practices will be explored. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 2150   Corequisite(s): None      CS 3410 - Programming for Mobile Devices Credits: 3 Lecture: 45 Lab: 0 Provides students with opportunities and the experience of developing applications for various mobile devices (i.e. phones, tablets, other multi-media mobile devices). Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 2420  or CS 3110   Corequisite(s): None      CS 3610 - Report Builder Analytics - Cognos Credits: 3 Lecture: 45 Lab: 0 Introduces students to the usage of IBM Cognos Analytics. Students will use IBM Cognos Analytics to extract data, analyze data, and produce reports that can be used to make informed decisions. This course provides a powerful toolset for mining, analyzing, score-carding and monitoring of events, data and metrics. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 1110   Corequisite(s): None      CS 3910 - Emerging Programming Languages Credits: 3 Lecture: 45 Lab: 0 Examines emerging programming languages, their design, description, implementation and advanced features; facilities for creating secure distributed applications including API design and common patterns, facilities supporting software services, naming and composition; language paradigms and the resulting implications on execution; run-time systems and storage management; approaches to compilation and execution. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CS 3210   Corequisite(s): None      CS 3930 - Introductory Data Analytics Credits: 3 Lecture: 45 Lab: 0 Introduces students to data analytics concepts using the R programming environment and RStudio as the Integrated Development Environment (IDE), which allows for scalable implementation. Includes valuable techniques for collecting, manipulating, visualizing, describing and analyzing data through descriptive statistics and model testing.   Prerequisite(s): MTH 2750   Corequisite(s): None      CS 3950 - Big Data Analytics Credits: 3 Lecture: 45 Lab: 0 Introduces students to big data analytics as the science of analyzing data, visualizing data, generating insights and making predictions. Applications include social media analysis, eSports, climate modeling, healthcare, traffic monitoring and numerous other data rich domains. Familiarizes students with Python to manipulate, store and analyze big data. Covers the basic tools for statistical analysis using Python and several machine-learning algorithms. Prerequisite(s): CS 1110A , MTH 2750   Corequisite(s): None      CS 3990 - Data Analytics Capstone Credits: 3 Lecture: 45 Lab: 0 Acts as the culminating capstone experience integrating student learning from the Data Analytics concentration courses requiring the application of R or Python to study and analyze a rich dataset. Includes a semester-long project focused on developing research questions and propositions that will be further explored through data analysis, model development and model testing. Prepares students for proficiency in using R or Python to conduct data analytics within numerous domains. Prerequisite(s): CS 3930 , CS 3950   Corequisite(s): None      CS 4110 - Artificial Intelligence Credits: 3 Lecture: 45 Lab: 0 Introduces students to foundations of Artificial Intelligence. Discusses intelligent agents, search algorithms, logic, knowledge representation, uncertainty, machine learning, as well as different aspects of the performance of AI techniques. Click here to access the Student Learning Outcomes for this course.   Prerequisite(s): CS 3110 , CS 3210    Corequisite(s): None      CS 4210 - Database Programming I Credits: 3 Lecture: 45 Lab: 0 Provides students the ability to create and maintain database objects to store, retrieve, and manipulate data. In addition, students will write queries to retrieve, summarize, and modify data using joins and subqueries. Students will learn how to create and execute stored procedures and functions. This course also introduces participants to database triggers. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 2210 , CS 1110A    Corequisite(s): None      CS 4220 - Database Programming II Credits: 3 Lecture: 45 Lab: 0 Continues the database programming tasks introduced in the introductory/previous course with a focus on creating custom forms and reports, using advanced debugging techniques, and integrating database applications. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 4220 , CS 4210   Corequisite(s): None      CS 4410 - IoT Devices Credits: 3 Lecture: 45 Lab: 0 Explores the components and architecture of the Internet of Things (IoT). Covers data connectivity and computational infrastructure, data processing, and security and privacy challenges associated with IoT. The course also examines trends, characteristics, and how IoT is implemented in various environments and applications. Prerequisite(s): NET 1010   Corequisite(s): None      CS 4510 - Unit Testing and Interfaces Credits: 3 Lecture: 45 Lab: 0 Emphasizes skills, tools, and methods related to unit testing and interface integration. Moving from unit testing to system testing is an important component of the course. Fault tolerances, validation testing, testing differences based on industry needs, safety/security, issues, and global collaboration issues will be examined. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 2510   Corequisite(s): CS 3220        CS 4650 - Advanced Database Topics Credits: 3 Lecture: 45 Lab: 0 Explores advanced database topics such as data mining, data warehousing, geographical information systems, and data-related ethics. This is a capstone course in which students will do an extensive research-based project or writing exercise. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): CIS 4220 , CS 4210    Corequisite(s): None      CS 4810 - Trends in Computer Science Credits: 3 Lecture: 45 Lab: 0 Examines today’s computer technology and investigates future technology trends in the industry. This course focuses on new technologies impacting computer science. Prerequisite(s): CS 1110A , NET 1010   Corequisite(s): None      CS 4910A - Senior Project Credits: 3 Lecture: 45 Lab: 0 Utilizing skills and knowledge acquired from previous information technology courses, students will work on solving a problem, creating a project, and creating an operations manual.  Prerequisite(s): CS 3220 , CS 4510   Corequisite(s): None Continuous Quality Improvement      CQI 1210 - Introduction to Quality Theory Credits: 3 Lecture: 45 Lab: 0 Provides an understanding of internationally recognized quality standards within the context of manufacturing organization and production. Course covers the components of quality management and the systems and techniques of implementation. Prerequisite(s): None Corequisite(s): None Criminal Justice      CRJ 1010 - Introduction to Criminal Justice Credits: 3 Lecture: 45 Lab: 0 Introduces the skills, tools, and methods needed for various criminal justice professions. This course explores philosophical underpinnings of crime and punishments among police, corrections, and the courts. Various ethical and duty related issues are also examined. Click here to access the Student Learning Outcomes for this course. Prerequisite(s): Student background check Corequisite(s): None      CRJ 1060 - Introduction to Corrections Credits: 3 Lecture: 45 Lab: 0 Introduces the philosophy and history of corrections. This course examines the corrections system process, including the development of current forms and approaches to corrections including probation, parole, security concepts, and related agencies. The role of a correctional officer is analyzed. Prerequisite(s): None Corequisite(s): None      CRJ 1310 - Diversity in Criminal Justice Credits: 3 Lecture: 45 Lab: 0 Examines the meaning and function of culture, the impact and meaning of discrimination, minorities, attitude formation, and professional responsiveness for criminal justice professionals. Prerequisite(s): None Corequisite(s): None      CRJ 1410 - Criminology Credits: 3 Lecture: 45 Lab: 0 Examines normal versus criminal behavior, human development and criminal patterns, specific problems, and intervention strategies. This course explores psychological, sociological, and biological theories of criminal behavior. Prerequisite(s): None Corequisite(s): None      CRJ 1510 - Legal Issues in Corrections Credits: 3 Lecture: 45 Lab: 0 Provides a thorough examination of how the law impacts corrections related decisions. This course also examines constitutional law, the court process, US courts, and prisoner rights. Prerequisite(s): None Corequisite(s): None      CRJ 1810 - Community Corrections Credits: 3 Lecture: 45 Lab: 0 Provides students with an overview of the historical development and implementation of community-based correctional programs and the advantages, disadvantages, effectiveness, and community impact of such programs. Emphasizes supervision of individuals on probation and parole including interviewing, counseling and referral to resources, and preparing written court reports and oral presentations during pre-sentence investigations. Prerequisite(s): None Corequisite(s): None      CRJ 2010 - Criminal Law Credits: 3 Lecture: 45 Lab: 0 Explores the criminal justice system using classic and contemporary case law to provide a foundation of legal knowledge. The course also examines the principles underlying the definition of crime including its contemporary application. Furthermore, this course focuses on the interrelationship between criminal law and the criminal justice system. Prerequisite(s): None Corequisite(s): None      CRJ 2110 - Interpersonal Communication and Conflict Management Credits: 3 Lecture: 45 Lab: 0 Provides students with interpersonal communication and conflict management skills that can be used to manage cooperative and uncooperative individuals in criminal justice environments. Application of the skills will be practiced through the use of role-play exercises in simulated situations. Prerequisite(s): None Corequisite(s): None      CRJ 2210 - Interviewing, Investigations and Report Writing Credits: 3 Lecture: 45 Lab: 0 Provides students the learning opportunity to conduct basic investigations, assessments, interviews, and interrogations that may be necessary in criminal justice settings. Students will practice providing oral summaries, note taking, and computer-based report writing in a variety of formats, including logs, client assessments, incident reports, investigation reports, interview summaries, and other related documents. Prerequisite(s): COM 1020   Corequisite(s): None   Page: 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 Contract All Courses | Print this Page Facebook this Page (opens a new window) Tweet this Page (opens a new window)     All publications © 2022 Baker College. Powered by the Acalog™ Academic Catalog Management System™ (ACMS™).