Computer Science, A.S.

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Program Design

The Computer Science associate degree program provides students with a broad background in the underlying disciplines of computer science including: the fundamentals of computer programming; the fundamentals of algorithm design and analysis of data structures; broad experience in problem solving with computers; the basics of computer architecture, organization and assembly language; an understanding of the basics of computer operating systems; and an understanding of computer networking concepts and technologies including the fundamentals of network design, installation, maintenance and administration.

Students will also acquire a comprehensive educational background in mathematics, physics and general education. In addition to acquired skills and knowledge in the field of computer science, this program will enhance and develop the student’s critical thinking, problem analysis and resolution skills.

The Computer Science A.S. degree program prepares students for transfer to institutions with bachelor’s degree programs in computer science or other related computer science/technology programs, or for entry into computer-based industry positions and further industry-based training. Students planning to transfer to baccalaureate institutions should consult with an advisor regarding the requirements of these institutions and transferability of courses.

Curriculum

Students may enroll in this program full- or part-time. Courses are offered during daytime and/or evening hours. Some courses are not offered every semester. Consult with a faculty advisor to work out a schedule. For students not prepared for the required mathematics and computer science courses in the program, MCC offers a wide range of preparatory courses. Please consult with a computer science faculty advisor.

Learning Outcomes

Upon successful completion of all requirements of the Computer Science A.S. degree program, graduates will

Demonstrate the ability to understand a problem and develop logically structured solutions through the use of flowcharts, pseudocode and C++ code.
Differentiate and understand the role and function of various current and emerging technologies, including, but not limited to, computer hardware, networking, programming, and database and Internet technologies.
Describe basic computer organization and the relationship between hardware components and the operating system.
Describe the essential operating system components and the operating services.
Demonstrate an understanding of the relationships between efficient algorithms and data structures and how efficiencies can be measured.
Use knowledge of algorithm design and data structures for the solution of problems, including efficient sorting, searching and graph manipulation.
Demonstrate a working knowledge of the internal structure of the digital computer.
Identify and apply the major concepts and language requirements to design, code, execute and debug programs in the required programming languages.
Differentiate and apply the basic technologies used in local- and wide-area networks.

In addition, the graduate will complete the comprehensive learning outcomes identified with the General Education Core.

Computer Science Requirements

ENG* 101:&nbsp;Composition 3 Credits (Gen Ed - Mode 2 )
Choose one course from Gen Ed - Mode 1 3 Credits
MAT* 254:&nbsp;Calculus I 4 Credits (Gen Ed - Mode 4 ) (formerly MAT* 250)^‡
COM* 173:&nbsp;Public Speaking 3 Credits (Gen Ed - Mode 3 )
CSC* 125:&nbsp;Programming Logic and Design with C++ 3 Credits
Subtotal: 16
CSC* 215:&nbsp;Object-Oriented Programming with C++ 4 Credits
CST* 131:&nbsp;Networking Theory & Application 4 Credits
MAT* 256:&nbsp;Calculus II 4 Credits
ENG* 110:&nbsp;Introduction to Literature 3 Credits (Gen Ed - Mode 3 )
Subtotal: 15
EET* 252:&nbsp;Digital Electronics 4 Credits
Choose one course from Gen Ed - Mode 6 3 Credits
CSC* 287:&nbsp;Organization and Architecture 3 Credits
CST* 123:&nbsp;Computer Operating Systems 4 Credits
PHY* 221:&nbsp;Calculus-Based Physics I 4 Credits (Gen Ed - Mode 5 )
Subtotal: 18
MAT* 272:&nbsp;Linear Algebra 3 Credits or
MAT* 285:&nbsp;Differential Equations 4 Credits or
MAT* 268:&nbsp;Calculus III: Multivariable 4 Credits
CSC* 241:&nbsp;Data Structures and Algorithms 4 Credits
CSC* 286:&nbsp;Microprocessor Assembly language 4 Credits
PHY* 222:&nbsp;Calculus-Based Physics II 4 Credits
Subtotal: 15-16

Total Credits Required: 64-65

Note:

^‡ Students who receive credit for MAT* 250 have fulfilled the MAT* 254 requirement.