DePaul University
General Information
College of Computing and Digital Media (CDM)
Programs in CDM
School of Computing (SoC)
Bachelor of Arts Degree Programs
Bachelor of Science Degree Programs
Computer Games Development (Joint with CIM)
Computer Graphics and Motion Technology (Joint with CIM)
Computer Science
E-Commerce Technology
Information Assurance and Security Engineering
Information Systems
Information Technology
Interactive Media (Joint with CIM)
Mathematics / Computer Science (Joint with LA&S)
Network Technologies
School of Cinema and Interactive Media (CIM)
Special Programs
Courses


DePaul Undergraduate Course Catalog
COLLEGE OF COMPUTING AND DIGITAL MEDIA 2008-2009
College of Computing and Digital Media - Undergraduate Studies School of Computing (SoC) Bachelor of Science Degree Programs Computer Science
Computer Science
..........

Graduates of the Bachelor of Science in Computer Science program are skilled problem solvers, sought-after programmers and software developers, and computer systems experts.  They use their skills to improve or develop computer applications in a wide variety of areas.

Computer Science is a field that spans diverse areas including:

  • Security and Cryptography
  • Robotics
  • Data Mining and Databases
  • Distributed and Mobile Systems
  • Intelligent Systems and gaming
  • Computation Biology, and more

The BS in Computer Science at DePaul provides essential training in the foundations of computing, data storage and information processing. With this foundation, graduates of the program can easily adapt to and create new information technologies, new computing paradigms, and new ideas for applying computer systems.

The Software Engineering concentration provides students with skills, knowledge, and experiences in state-of-the-art software engineering methodologies, techniques, and applications.

What students learn in the BS in Computer Science program:

  • Programming and software development skills, the technical tools of the IT trade
  • An understanding of modern Computer Systems, which you will use to develop computer applications
  • Skills in application areas such as security and cryptography, robotics and computer vision, data mining and databases, distributed and mobile systems, intelligent systems and gaming, computational biology, etc.


The Liberal Studies program is the general education portion of the curriculum at DePaul.  Click here to view the CDM courses that qualify for liberal studies credit.


The coursework for the B.S. in Computer Science consists of:

  • The DePaul University Liberal Studies Program: (19 courses, not including the Senior Capstone),
  • Major Field courses (24 courses or 96 credits, including the Senior Capstone), and
  • Open Elective courses (5 courses or 20 credits).

Note : CSC 208 The Computer and Social Responsibility must be taken to satisfy the PI liberal studies requirement.

The 18 required courses provide training in the following fundamental areas:  

     A. mathematical tools
     B. problem solving, algorithms, and structured programming
     C. modeling and object-oriented programming
     D. computer systems   

They also include:

     E. the senior capstone course
     F. the communication requirement


A. Mathematical Tools (5 Courses)

MAT 140 Discrete Mathematics I  
MAT 141 Discrete Mathematics II  
IT 223     Data Analysis   

AND any of the following calculus sequences (160/161 or 170/171 are highly recommended):

MAT 150 Calculus I  
  AND  MAT 151 Calculus II  
OR MAT 160 Calculus for Mathematics and Science Majors I  
     AND  MAT 161 Calculus for Mathematics and Science Majors II  
OR MAT 170 Calculus I with Scientific Applications  
     AND  MAT 171 Calculus II with Scientific Applications   
  


B. Problem Solving, algorithms, and structured programming (3 Courses):

CSC 241 Introduction to Computer Science I  
CSC 242 Introduction to Computer Science II  
CSC 321 Design and Analysis of Algorithms   
  


C. Modeling and Object-Oriented Programming (3 courses):

CSC 224 Java for Programmers  Self Placement Test Available
CSC 383 Data Structures and Algorithms in Java   
  or  CSC 393 Data Structures in C++  
SE 350 Object-Oriented Software Development   
  


D. Computer Systems (4 courses):

CSC 309 Object-Oriented Programming in C++  
CSC 373 Computer Systems I  
CSC 374 Computer Systems II  
CSC 347 Concepts of Programming Languages   
  


E. Capstone (1 course):

CSC 394 Software Projects   
  


F. Communication (2 courses):

WRD 204 Technical Writing [formerly Eng 204]  
CMN 220 Public Speaking   
  


Major Field Elective Courses (6)
At least 4 of the 6 Major Field elective courses (i.e. 16 out of 24 credits) must be taken from the list of "ADVANCED MAJOR FIELD COURSES" (see below).


Introductory Major Field Courses
IT 130      The Internet and the Web  
IT 209      Introduction to Programming Through Animation  
IT 230      Building Internet Applications  
IT 236      User Interface Development  
IT 240      Introduction to Desktop Databases  
IT 263      Applied Networks and Security  
IM 210     Introduction to Human-Computer Interaction  
IM 336     Interactive Media Scripting for Programmers
GAM 244 Game Development I  
GAM 245 Game Development II  
CSC 233 Codes and Ciphers  
CSC 235 Problem Solving  
  
Advanced Major Field Courses
The courses are listed by area; there is NO requirement that the 4 courses must be from the same or from different areas.

Theory of Computation
CSC 333 Cryptology  
CSC 344 Automata Theory and Formal Grammars  
CSC 389 Theory of Computation  
CSC 327 Problem Solving for Contests  
  

Data Storage
CSC 352 Database Programming  
CSC 353 Advanced Database Concepts   

Computer Systems
CSC 343 Introduction to Operating Systems  
CSC 348 Introduction to Compiler Design
CSC 375 Introduction to Robotics  
SE 335    Foundations of Distributed Systems I  
SE 336    Foundations of Distributed Systems II  
TDC 368  Network Programming   
  

Data Analysis and Mining
CSC 324 Data Analysis and Statistical Software II  
CSC 328 Data Analysis for Experimenters  
CSC 367 Introduction to Data Mining  
CSC 334 Advanced Data Analysis  
  

Computational Sciences
CSC 331 Scientific Computing  
CSC 387 Operations Research I: Linear Programming  
CSC 388 Operations Research II: Optimization Theory  
  

Artificial Intelligence
CSC 357 Expert Systems  
CSC 358 Symbolic Programming  
CSC 380 Foundations of Artificial Intelligence  
  

Computer Vision
CSC 381 Introduction to Digital Image Processing  
CSC 382 Applied Image Analysis  
CSC 384 Introduction to Computer Vision  
  

Software Engineering
SE 325   Principles and Practices of Software Engineering  
SE 330   Object Oriented Modeling  
SE 331   Model-Driven Software Development  
SE 333   Software Testing  
CNS 340 Fundamentals of Information Assurance  
SE 352   Object-Oriented Enterprise Application Development  
SE 368   Software Measurement and Project Estimation   
  

Human-Computer Interaction
CSC 305 Graphical User Interface Implementation  
IM 360     User-Centered Evaluation  
  

Computer Graphics
GPH 325 Survey of Computer Graphics  
GPH 329 Computer Graphics Development II  
GPH 336 Smooth Surface Modeling for Graphics and Animation  
GPH 339 Advanced Rendering Techniques  
GPH 372 Principles of Computer Animation  
GPH 375 Advanced Graphics Development  
GPH 380 Visualization  
GPH 389 Real-Time Graphics Techniques  
GPH 395 Computer Graphics Senior Project  
  

Computer Gaming
GAM 350 Physics for Game Developers  
GAM 374 Action Games Programming  
GAM 376 Artificial Intelligence for Computer Games  
GAM 378 Strategy Games Programming  
GAM 380 Console Game Development Environments  
GAM 385 Introduction to Game Programming in Java  
GAM 386 Game Development for Mobile Devices  
GAM 390 Multiplayer Game Development  
GAM 394 Game Development Project I  
GAM 395 Game Development Project II  
  

Web Development
CSC 308 Frameworks for Web Application Development  
ECT 330 Advanced Internet Application Development  
ECT 360 Introduction to Xml  
ECT 365 Web Server Operations  
  

Computer Networks
TDC 362 Principles of Data Communications  
TDC 363 Introduction to Local Area Networks  
TDC 365 Network Interconnection Technologies  
TDC 371 Wireless Communications Networks  
TDC 372 Digital Access Services  
TDC 375 Network Protocols  
TDC 379 Telecommunication and Network Security Practicum   
  

Open Electives (5 courses)


The Bachelor of Science in Computer Science: Software Engineering Concentration Program

Program Requirements

The coursework for the BS in CS: SE Concentration consists of the DePaul University Liberal Studies Program (19 courses), Major Field courses (24 courses or 96 credits), and Open Elective courses (5 courses or 20 credits).

Note: CSC 208 The Computer and Social Responsibility must be taken to satisfy the PI liberal studies requirement.


The Major Field courses for the BS in CS Software Engineering (SE) Concentration consists of  21 required (4 credit) courses and 3 SE Concentration elective courses (or 12 credits). The 21 required courses include the 18 courses required for the BS in Computer Science (see above) together with an additional 3 required SE courses and 3 SE concentration electives Courses.

The three required SE courses are:

SE 325 Principles and Practices of Software Engineering  
SE 330 Object Oriented Modeling  
SE 352 Object-Oriented Enterprise Application Development  
  
SE Concentration Elective courses (3 courses or 12 credits):

SE 331    Model-Driven Software Development  
SE 333    Software Testing  
CNS 340  Fundamentals of Information Assurance  
SE 335    Foundations of Distributed Systems I  
CSC 305 Graphical User Interface Implementation  
SE 368    Software Measurement and Project Estimation   
  


Open Electives may be taken from any department or program.  These are the only courses that may be taken under the pass/fail option.  If you wish to pursue a minor, most minor field courses will be credited as open electives. 

Note:  Grades for all courses in the students major (i.e. non-Liberal Studies and non-Open Elective) must be 'C' or better.  Grades of 'C-' may be accepted provided the overall grade point average in the major is 2.0 or better.

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