Computer Science field:

 | Post date: 2021/06/29 | 
Computer Science field:
The Department of Computer science was founded in in 2007 with the establishment of a master's degree. At present, the Department of Computer Science admits about 30 students for master’s degree and seven doctoral students annually.
The educational and research activities of the Department of Computer Science in the master's and doctoral courses are in the following fields:
Data mining, Soft computing & artificial intelligence, Algorithm & Computing theory, System analysis
 
Compulsory courses for all computer science majors: Advanced algorithm:
Algorithm branch:
Compulsory course: Advanced computational theory
Optional course: Computational geometry
Branch of soft computing and intelligence:
Compulsory lesson: Advanced artificial intelligence
Optional course: Machine learning
Data Mining branch:
Compulsory course: Data mining
Optional course: Machine learning
 


The Tables of courses of computer science are as follows:
 
Table No. 1-1: Compulsory courses in Logic and Formal Methods branches:
No Course Units
1 Computational data mining 3
2 Advanced algorithms 3
3 Model checker 3
 
 
Table No. 1-2: Specialized – optional courses of official languages ​​branch and formal methods:
No Course Units Hours/ theory Hours/applied Total hours Prerequisites or simultaneous courses
1 Model checker 3 48   48  
2 Automatic proof 3 48   48  
3 Logic programming 3 48   48  
4 Formal semantics 3 48   48  
5 Formal description of software 3 48   48  
6 Software authentication 3 48   48  
7 Special topics in formal methods 3 48   48 Lecturer  permission
The student is required to take at least 6 units of the courses in Table 2-1.
The student must take two of the courses in Tables 1-1 to7-1 or 1-2 to7-2 or one of the related master's degree courses according to the group advice.

 
Table No2-1: Compulsory courses in the field of Scientific Computing:
No Course Units
1 Computational data 3
2 Advanced algorithms 3
3 Matrix computations 3

 
Table 2-2: Specialized – optional courses of scientific computations.
No Course Units Hours / theory Hours/ applied Total hours Prerequisites or simultaneous courses
1 Advanced math software 3 48   48 Numerical analysis 1
2 Linear numerical programming 3 48   48 Linear algebra
3 Nonlinear-numerical optimization 3 48   48 Numerical linear algebra or numerical analysis 1 or matrix computations
4 Advanced linear programming 3 48   48 Linear numerical programming or instructor permission
5 Advanced nonlinear optimization 3 48   48 Numerical linear algebra or numerical analysis 1 or matrix calculations or group permission
 
 
6 Numerical Integral and differential equations 3 48   48 Numerical analysis 1
7 Numerical partial differential equations 3 48   48 Numerical analysis 1
8 Sparse matrices technology 3 48   48 Numerical linear algebra or matrix calculations or instructor permission
91 Modeling and geometric design 3 48   48 Numerical linear algebra or matrix calculations or instructor permission
11 Integer programing and networking 3 48   48 Numerical algebra, or numerical linear programming, or instructor permission
12 Combinatory optimization 3 48   48 Numerical algebra, or numerical linear programming, or instructor permission
13 Parallel algorithms for scientific computing 3 48   48 Numerical analysis 1 or instructor permission
14 Numerical stochastic differential equations 3 48   48 Numerical analysis 1 or instructor permission
15 Numerical stochastic partial differential equations 3 48   48 Ordinary stochastic differential equations, Simulation
16 Simulation 3 48   48 Probability theory and stochastic processes, statistics
17 Special topics in scientific computing
 
3 48   48 Instructor permission
The student is required to take at least 6 units of the courses in Table 2-2.
The student must take two of the courses in Tables 1-1 to 7-1 or 1-2 to 7-2 or one of the related master's degree courses according to the group advice.


 
Table No. 3-1: Compulsory courses in Algorithm branch and Theory of Computations:
No Course Units
1 Computational data 3
2 Advanced algorithms 3
3 Advanced theory of computation 3

 
Table No. 3-2: Specialized-optional courses in computational theory:
Course code Course Units Hours/ theory Hours/ applied Total hours Prerequisites or simultaneous courses
1 Recursion theory and computability 3 48   48 Instructor permission
2 Computation complexity 3 48   48  
3 Advanced computation complexity 3 48   48  
4 Parallel algorithms 3 48   48  
5 Stochastic algorithms 3 48   48  
6 Design and analysis of algorithms 3 48   48  
7 Fundamentals of cryptography theory 3 48   48  
8 Games theory 3 48   48  
9 Advanced graph theory 3 48   48 Graphs and algorithms
10 Combinatorial algorithms 3 48   48  
11 Graphs and algorithms 3 48   48  
12 Approximate algorithms 3 48   48  
13 Computational geometry 3 48   48  
14 combinatorics 3 48   48 Combinatorial analysis 1
15 Structural compounds 3 48   48  
16 Computational analysis 3 48   48 Mathematical logic, Mathematical analysis
17 Special Topics in computational theory 3 48   48 Instructor permission
The student is must take at least 6 units of the courses from Table 2-3
The student must take two of the courses in Tables 1-1 to 7-1 or 2-1 to 7-2 or one of the related master's degree courses, depending on the group advice.


 
Table 4-1: Compulsory courses in Soft Computing and Artificial Intelligence.
No Course Units
1 Computational data 3
2 Advanced algorithms 3
3 Advanced artificial intelligence 3 3
 
 
Table No. 4-2: Specialized- optional courses - Soft computing and artificial intelligence:
Course code Course Units Hours/ theory Hours/applied Total hours Prerequisites or simultaneous courses
1 Soft computing 3 48   48 -
2 Advanced artificial intelligence 3 48   48 -
3 Expert systems 3 48   48 -
4 Machine learning 3 48   48 -
5 Natural languages processing 3 48   48 -
6 Statistical Machine learning 3 48   48 Machine learning
7 Discrete dynamic systems 3 48   48 -
8 Intelligent algorithms 3 48   48 -
9 Multi agent systems 3 48   48 -
10 Deep learning 3 48   48 Machine learning
11 Data mining 3 48   48 -
12 Advanced network optimization 3 48   48 -
13 Special Topics in Artificial Intelligence 3 48   48 Instructor permission
14 Special Topics in Soft Computing 3 48   48 Instructor permission
The student is required to take at least 6 units of the courses in Table 4-2.
The student must take two of the courses in Tables 1-1to 7-1 or 1-2 to 7-1, or one of the related master's degree courses according to the group advice.


 
Table 5-1: Compulsory courses in Systems Theory:
No Course Units
1 Computational data mining 3
2 Advanced algorithms 3
3 Advanced software design 3


 
Table No. 5-2: Specialized-optional courses in systems theory:
Course code Course Units Hours/theory Hours/ applied Total hours Prerequisites or simultaneous courses
1 Advanced software design 3 48   48 -
2 Advanced agent system 3 48   48 -
3 Advanced data base 3 48   48 -
4 Real time systems 3 48   48 -
5 Decision support systems 3 48   48 -
6 Advanced compiler 3 48   48 -
7 Distributed systems 3 48   48 Artificial intelligence
8 Advanced computer networks 3 48   48 -
9 Special Topics in Systems Theory 3 48   48 Instructor permission
The student is required to take at least 6 units of the courses in Table 5-2. advice.
The student must take two of the courses in Tables 1-1to 7-1 or 1-2 to 7-1, or one of the related master's degree courses according to the group advice.



 
Table No. 6-1: Compulsory courses in Decision Science and Knowledge:
No Course Units
1 Computational data mining 3
2 Advanced algorithms 3
3 Convex optimization
 
3

 
Table No 6-2: Specialized-optional Courses in Decision Science and Knowledge:
Course code Course Units Hours/theory Hours/applied Total hours Prerequisites or simultaneous courses
1 Decision with multiple criteria 3 48   48 Operations Research
2 Soft computing 3 48   48 -
3 Machine learning 3 48   48 -
4 Information and uncertainty 3 48   48 -
5 Fuzzy decision systems 3 48   48 Decision with multiple criteria
6 Learning mathematics 3 48   48 -
7 Combinatorial optimization 3 48   48 -
8 Stochastic processes 3 48   48 -
9 Probability and fuzzy statistics 3 48   48 Soft computing
10 Games theory 3 48   48 -
11 Transcendental optimization 3 48   48 Operational research
12 Data mining 3 48   48 -
13 Advanced data mining 3 48   48 Data mining
14 Text mining & web mining 3 48   48 Data mining
15 Artificial Neural Networks 3 48   48 Mathematical optimization or Instructor permission
16 Multi agent systems 3 48   48 -
17 Special topics in decision science and knowledge 3 48   48 Instructor permission
The student is required to take at least 6 units of the courses in Table 2-6.
The student must take two of the courses in Tables 1-1 to 7-1 or 1-2to 7-1, or one of the related master's degree courses, depending on the group permission.


 
Table 7-1: Compulsory courses of Data Mining branch:
No Course units
1 Computational data mining 3
2 Advanced algorithms 3
3 Data mining 3

 
Table 7-2: Specialized-optional courses in data mining branch:
Course code Course Units Hours/ theory Hours/applied Total hours Prerequisites or simultaneous courses
1 Learning mathematics 3 48   48 -
2 Convex optimization 3 48   48 -
3 Combinatorial optimization 3 48   48 -
4 Machine learning 3 48   48 -
5 Statistical machine learning 3 48   48 Machine learning
6 Advanced data mining 3 48   48 Data mining
7 Text mining and web mining
 
3 48   48 Data mining
8 Feature selection and feature extraction 3 48   48 Data mining or Instructor permission
9 Graph mining 3 48   48 Data mining or Instructor permission
10 Probabilistic graph models 3 48   48 Data mining or Instructor permission
11   3 48   48 Data mining or Instructor permission
12 Data visualization 3 48   48 Data mining or Instructor permission
13 Outlier detection 3 48   48 Data mining or Instructor permission
14 Modeling and data processing 3 48   48 Data mining
15 Deep learning 3 48   48 Machine learning
16 Special topics in data mining 3 48   48 Instructor decision
The student is required to take at least 6 units of the courses in Table 7-2.
The student must take two of the courses in Tables 1-1to 7-1 or 1-2to 7-2, or one of the related master's degree courses, depending on the group permission.


 



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