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| Last update: 2021/05/10 |
Undergraduate (BSc) Basic Courses of Computer Sciences
| row | Course Title | Course Code | Number of Credits | Prerequisite | Descriptions |
| 1 | Calculus 1 | 1011053 | 3 | ||
| 2 | Calculus 2 | 1011103 | 3 | Calculus 1 | |
| 3 | Differential Equations | 1011253 | 3 | Calculus 2 | |
| 4 | Introduction to Computer and Programming | 1236313 | 3 | ||
| 5 | General Physics 1 | 1021303 | 3 | ||
| 6 | Foundation of Economics | 1255103 | 3 | Take a lesson from the 6th row lessons. | |
| General Physics 2 | 1021353 | 3 | General Physics 1 | ||
| Principles of Accounting and Costing | 1126743 | 3 | |||
| Principles of Management | 1126713 | 3 | |||
| 7 | Research Method and Report Writings | 1218272 | 2 | ||
| 8 | General Physics 1 Laboratory | 1022371 | 1 | General Physics 1 | Take a lesson from the 8th row lessons. |
| Computer Workshop 1 | 1218281 | 1 | |||
| Note: Obtaining 21 units from this table is mandatory. | |||||
Undergraduate (BSc) Main Courses of Computer Sciences
| row | Course Title | Course Code | Number of Credits | Prerequisite |
| 1 | Foundation of Mathematics | 1236303 |
3 |
Calculus 1 or Introduction to Computer and Programming |
| 2 | Foundation of Matrix and Linear Algebra | 1218103 | 3 | Foundation of Mathematics |
| 3 | Foundation of Combinatorics | 1218163 | 3 | Corequisite: Introduction to Computer and Programming |
| 4 | Foundation of Numerical Analysis | 1218133 | 3 | Calculus 2 |
| 5 | Introduction to Probability | 1319153 | 3 | Calculus 1 |
| 6 | Foundation of Computability Theory | 1218293 | 3 | Foundation of Mathematics |
| 7 | Advanced Programming | 1319143 | 3 | Introduction to Computer and Programming |
| 8 | Data Structures and Algorithms | 1218304 | 3 | Advanced Programming |
| 9 | Principles of Operating systems | 1218153 | 3 | Data Structures and Algorithms |
| 10 | Numerical Linear Algebra | 1218193 | 3 | Foundation of Matrix and Linear Algebra |
| 11 | Principles of Computer Systems | 1218374 | 4 | Advanced Programming |
| 12 | Introduction to Logic and Set Theory | 1218243 |
3 |
Foundation of Mathematics or Foundation of Logic in Computer Sciences |
| 13 | Design and Analysis of Algorithms | 1218323 | 3 | Data Structures and Algorithms |
| Note: It is mandatory to take all the courses in this table (42 credits). | ||||
Undergraduate (BSc) Specialized Courses of Computer sciences
| row | Course Title | Course Code | Number of Credits | Prerequisite |
| 1 | Linear Optimization* | 1218183 | 3 | Foundation of Matrix and Linear Algebra |
| 2 | Computability Theory* | 1218313 | 3 | Foundation of Computability Theory |
| 3 | Artificial Intelligence* | 1255033 | 3 | Data Structures and Algorithms, Introduction to Probability |
| 4 | Principles of Software Design* | 1316163 | 3 | Data Structures and Algorithms |
| 5 | Compiler | 1218353 | 3 | Foundation of Computability Theory |
| 6 | Database | 1218333 | 3 | Data Structures and Algorithms |
| 7 | Computer Networks | 1218393 | 3 | Principles of Computer Systems |
| 8 | Topics in Computer Science | 1218343 | 3 | Group Permission |
| 9 | None Linear Optimization | 1129043 | 3 | Linear Optimization |
| 10 | Graph Theory and Applications | 1129043 | 3 | Foundation of Combinatorics |
| 11 | Numerical Analysis | 1218473 | 3 | Foundation of Numerical Analysis |
| Note: Each student must take the starred courses in this table and must choose a total of 21 credits from this table. | ||||
Undergraduate (BSc) Elective Courses of Computer sciences
| row | Course Title | Course Code | Number of Credits | Prerequisite |
| 1 | Computer Geometric Design** | 1218383 | 3 | Data Structures and Algorithms |
| 2 | Computerized Simulation** | 1128413 | 3 | Introduction to Probability |
| 3 | An Introduction to Data Mining** | 1218633 | 3 | |
| 4 | Project** | 1127553 | 3 | Research Method and Report Writings and passing 90 Credits |
| 5 | Internship 1 | 1127112 | 2 | Research Method and Report Writings and passing 90 Credits |
| 6 | Internship 2 | 1127122 | 2 | Internship 1 and passing 90 Credits |
| 7 | Application of Computer in Commercial Systems | 1128333 | 3 | Advanced Programming |
| 8 | Combined Optimization and Network Analysis | 1254083 | 3 | Linear Optimization |
| 9 | Foundation of Mathematical Analysis | 1218123 | 3 | Calculus 2 |
| 10 | Foundation of Algebra | 1218173 | 3 | Foundation of Mathematics |
| 11 | Coding Theory | 1264033 | 3 | Foundation of Algebra or Foundation of Matrix and Linear Algebra |
| 12 | Programming Languages | 1236163 | 3 | Data Structures and Algorithms |
| 13 | Computer Graphic | 1254023 | 3 | Data Structures and Algorithms |
| 14 | Logic | 1254043 | 3 | Principles of Combinatorics |
| 15 | Management Information Systems | 1205093 | 3 | Principles of Management |
| 16 | Engineering Mathematics | 1011713 | 3 | General Mathematics 2 |
| 17 | Probability 1 | 1218203 | 3 | Introduction to Probability |
| 18 | Cellular and Molecular Biology | 2 | ||
| 19 | Topics in Algorithms | 3 | Design and Analysis of Algorithms | |
| 20 | Foundation of Bioinformatics | 3 | Cellular and Molecular Biology | |
| 21 | Foundation of Entrepreneurship | 1236322 | 2 | |
| • Each student without a degree must choose 30 credits from this table, of which at least 14 credits are among the ** courses in this table or the courses not taken in Table 6. • Any student without a degree who takes at least 14 credits from the courses ** in this table or the courses not taken in Table 6, can take 15 credits from the package courses approved in other fields of the university. • Each student with an approved cadet can take 30 credits from other fields (in the form of approved cadets) instead of taking 30 optional courses. |
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