Total Hours Needed to Graduate:
120 Hours

Major

71 Hours
COURSE NUMBER
COURSE TITLE
CREDIT HOURS
CIS 2210
Database Management and Design
3

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.

Prerequisite(s):
CIS 1110 OR CS 1010 OR CS 1110 OR NET 1010

CIS 2510
Systems Development Methods
3

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.

CIS 2610
Visual BASIC
3

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.

Prerequisite(s):
CS 1110

CS 1010
Principles of Computer Science
3

Provides students an overview of the computer science profession. The course will focus on topics such as history, careers, programming languages, operating systems, databases, and relationship of mathematical concepts.

CS 1110
Introduction to Programming
3

Introduces students to programming concepts such as logic and flow charting as well as some basic programming techniques.

Corequisite(s):
MTH 1110

CS 2010
Net-centric Computing
3

Examines the elements of global communication, networking, cloud computing, Internet programming, and programming for mobile devices. Students will experience working as a team to integrate technology used for networking on the Internet to support various users.

Prerequisite(s):
CS 1010, CS 1110

CS 2150
C++ Programming
3

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.

Prerequisite(s):
CS 1110 and MTH 1110 or EGR 2710 and MTH 1110

CS 2310
Microprocessor Electronics
3

Introduces students to microprocessor/microcontroller fundamentals. The course will explore basic operating systems, binary math principles, software/hardware interaction, input/output processing, and system implementation.

Prerequisite(s):
CS 1010, CS 1110

Corequisite(s):
MTH 1110

CS 2410
Java Programming
3

Introduces students to using the JAVA programming language for developing applications. This is the first of two JAVA programming courses. The use of JAVA in Web-based client and server programming is also covered.

Prerequisite(s):
CS 1110

CS 2420
Advanced Java Programming
3

Continues the use of the Java programming language for developing applications.

Prerequisite(s):
CS 2410

CS 3110
C# Programming
3

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.

Prerequisite(s):
CS 2150

CS 3210
Data Structures and Algorithms I
3

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++.

Prerequisite(s):
CS 2150

CS 3220
Data Structures and Algorithms II
3

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.

Prerequisite(s):
CS 3210

CS 3410
Programming for Mobile Devices
3

Provides students with opportunities and the experience of developing applications for various mobile devices (i.e. phones, tablets, other multi-media mobile devices).

Prerequisite(s):
CS 2310 OR CS 2420 OR CS 3110

CS 3910
Emerging Programming Languages
3

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.

Prerequisite(s):
CS 3210

CS 3950
Big Data Analytics
3

Introduces data analytics as the science of analyzing the data, generating insights, and making predictions. It easily finds applications in social media analysis, computational biology, climate modeling, health care, traffic monitoring and so on. This class aims to provide an overview of advanced machine learning, data mining and statistic techniques that arise in real data analytic applications. Selected topics include topic modeling, structure learning, time-series analysis, learning with less supervision, and massive-scale data analytics. One or more applications associated with each technique will also be discussed.

Prerequisite(s):
CS 3210

CS 4110
Artificial Intelligence
3

Examines how artificial intelligence on computers can be made to behave intelligently. This course will cover theoretical and practical approaches to AI, with topics to include search, logic, knowledge representation, uncertainty, and different aspects of the performance of AI techniques. No previous exposure to AI is assumed.

Prerequisite(s):
CS 3850, CS 3110

CS 4510
Unit Testing and Interfaces
3

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.

Prerequisite(s):
CIS 2510, CS 3210

Corequisite(s):
CS 3220

CS 4810
Trends in Computer Science
3

Examines today s computer technology and investigates future technology trends in the industry. Focus will be on various subjects such as: new technologies, new research, the importance of lifelong learning to stay current, industry frameworks, human/computer interaction, user interfacing by generations, global awareness, mobile device advancements, mobile device programming, security, and other topical issues. This course contains a lab component.

MTH 2510
Calculus II
4

Explores integration of functions, ordinary differential equations, series and sequences, and their application. Techniques of integration, improper integrals, convergence and divergence of various types of series and sequences, and applications related to area, volume, conic sections, parametric equations, and polar equations are emphasized.

Prerequisite(s):
MTH 1510

MTH 3550
Differential Equations and Linear Algebra
4

Examines the algebra of matrices, vectors in space, vector spaces and subspaces, eigenvalues, linear transformations, and the applications of matrix methods to find solutions to systems of linear equations and linear programming problems. Also examines the principles and methods for solving and applying first, second, and higher order differential equations.

Prerequisite(s):
MTH 2510

WRKIT2010
Work Experience
3

Provides a 150-hour minimum learning experience over a minimum of 10 week in an appropriate work environment structured to allow students to develop skills and gain training in their major field. A minimum grade of 73% is required on the supervisor evaluation and assignments to pass the course.

WRKIT4010
Work Experience
3

Provides a 150-hour minimum learning experience over a minimum of 10 week in an appropriate work environment structured to allow students to develop skills and gain training in their major field. A minimum grade of 73% is required on the supervisor evaluation and assignments to pass the course.

Concentration in Database Technology

18 Hours
The Database Technology concentration builds upon the body of knowledge developed in the Bachelor of Science in Computer Science degree. You will study database applications and focus on the core elements of database programming and administration concepts and tasks.
COURSE NUMBER
COURSE TITLE
CREDIT HOURS
CIS 4210
Database Administration I
3

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.

Prerequisite(s):
CIS 2210

CIS 4220
Database Administration II
3

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

CS 3610
Report Builder Analytics - Cognos
3

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.

Prerequisite(s):
CIS 1150

CS 4210
Database Programming I
3

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.

CS 4220
Database Programming II
3

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.

Prerequisite(s):
CS 4210

CS 4650
Advanced Database Topics
3

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.

Prerequisite(s):
CIS 4220, CS 4220

General Education

31 Hours
COURSE NUMBER
COURSE TITLE
CREDIT HOURS
ELECTIVE
Scientific Inquiry
3

ENG 1010
College Composition I
3

Emphasizes academic writing by reading and thinking critically to strengthen essential communication skills through the use of the writing process. Various assignments focus on summary and response, analysis, and informative writing. Research practices and research writing in APA style are essential to the course.

ENG 1020
College Composition II
3

Continues developing students' critical thinking and writing skills through reading and argumentative writing. Emphasizes academic writing to articulate the relationships among language, knowledge, and power. Various assignments focus on position, argument analysis, and argumentative proposal. Research practices and research writing in APA style are essential to the course.

Prerequisite(s):
ENG 1010

HUM 4010
Philosophy of Ethics
3

Identifies and analyzes ethical situations in modern society. Examines the philosophical foundations for personal and professional ethics.

Prerequisite(s):
ENG 1020

MTH 1410
Introduction to Discrete Mathematics
3

Examines sets, functions, relations, graphs, trees, logic, mathematical induction and other proof techniques, counting techniques, Boolean Algebras and analysis of algorithms. Students experience mathematics in a larger context by studying both theoretical foundations and applications of the topics of the course.

Prerequisite(s):
MTH 1310 OR MTH 1210

MTH 2750
Statistical Methods
3

Focuses on data interpretation and practical application of introductory level statistics. Emphasizes a conceptual understanding of the use of statistics in various fields, including the ability to interpret results. Topics include development and analysis of descriptive statistics, inferential statistics (bivariate), and regression analysis. Students determine appropriate statistical methods, calculate basic statistical values, and analyze/interpret data sets including statistical software study results. MTH 2750 - Statistical Methods satisfies the MTA Statistics Pathway.

Prerequisite(s):
MTH 1050 OR MTH 1110

SOC 3210
Cultural Diversity
3

Examines the social construction of groups based on race, ethnicity and national origin, religion, gender, age, sexual orientation, and able-bodiedness. Sociological (as well as psychological, historical, economic, and anthropological) perspectives are applied to concepts such as prejudice, stereotyping, discrimination, racial and ethnic identity, racial formation, power and privilege, assimilation and pluralism, and tolerance. Emphasis is on increasing knowledge, personal awareness, and sensitivity.

SPK 2010
Oral Communication
3

Develops confidence and skill in many facets of oral communication. Students explore diverse topics and formats, using organization, research, and technology to deliver effective oral presentation.

Featured Faculty

To look around the corner and into the future, to embrace what is, to imagine what could be and work to incorporate those new concepts into out curriculum keeping our students at the leading edge of technology…

- Dr. Richard Bush, Baker College Dean of Information Technology
We're Here to Help
Ready to take the next step?

Contact us today to speak with a
Baker admissions expert.

Errors highlighted in red