Undergraduate Program

Program: BSc (Honours) In Computer Science and Engineering

1. Duration of the program: 4 Years/8 Semesters.
2. Admission Requirements: General Undergraduate Admission guidelines of the Science Unit will be applicable. Some important eligibility criteria are described as follows:
   • Candidates having a minimum GPA of 3.50 (including 4th subject) separately in SSC and HSC examinations held in recent designated years from the Science/Agricultural Science branch of any education board of Bangladesh or Alim in Science branch from Madrasa Board or IGCSE/O-level and IAL/GCE/A-level or equivalent foreign degree and a minimum total GPA of 8.0 in these two will be eligible to apply. For IGCSE/O-level and IAL/GCE/A-level and any foreign degree holders, the equivalent grades will be calculated and thus the eligibility will be determined.
   • Candidates having a minimum GPA of 3.0 (including 4th subject) separately in SSC and HSC examinations held in recent designated years from the Arts/General or Business Education branches of any education board of Bangladesh and a minimum total GPA of 7.5 in these two will also be eligible to apply. For IGCSE/O-level and IAL/GCE/A-level and any foreign degree holders, the equivalent grades will be calculated and thus the eligibility will be determined.
   • In the admission test, the candidate must secure at least 60% marks of the total marks allocated for the Physics and Mathematics parts.
3. Total class weeks in a Year/semester: 15 weeks/semester including midterm exam; 2 semesters in a year
4. Teaching hours of theory courses: One theory course credit is defined as conducting one 60 minutes class delivery in a week, spanning 14 weeks in a semester excluding midterm examination. For a 3-credit course, two classes each of 90 minutes are held in a week, i.e., 42 hours of total contact hours per 3-credit course. Similarly, a 2-credit course has 28 hours of teaching, two classes of 60 minutes each week.
5. Teaching hours of laboratory courses: One laboratory course credit is defined as conducting hands-on work in the lab for 2 hours in a week, spanning 14 weeks in a semester. For a 1.5 credit laboratory course, one class of 3 hours is held in a week, i.e., 42 hours of total contact hours in 14 weeks. Similarly, a 0.75-credit lab course has one class of 3 hours in alternate weeks, and a 1.0-credit lab course has 28 hours of teaching, each class of 2 hours in 14 weeks.
6. Mid and Final Examinations: 1 week for midterm and 2 to 3 weeks for final examinations.
7. Preparatory leave: 9-10 days of preparatory leave will be allocated between the last class date of a semester and the starting date of the final examinations.
8. Total minimum credit requirement to complete the degree program: 150 Credits.
9. Minimum CGPA requirements for graduation: 2.00, and without ‘F’ grade in any subject.
10. Maximum academic years of completion: 6 (Six) Years from the date of admission at 1st year 1st semester.
11. Course Code
    • Every course has a unique course code. The letter prefix in any course code indicates the field or the discipline of the course, e.g., CSE stands for Computer Science and Engineering, EEE for Electrical and Electronic Engineering, PHY for Physics, MATH for Mathematics, STAT for Statistic, HUM for arts and humanities, BUS for business, and MIS for management of information system.
    • The four digits in the course code have the following meaning:

• The first digit corresponds to the year in which the course is offered by the department.
• The second digit represents the semester in which the course is offered.
• The third and fourth digits are used to specify different theory and lab courses taught in a semester. The last digit is assigned an odd number for theoretical courses and even for laboratory courses.

1. Category of Courses:

   • General Education Courses: (Interdisciplinary courses, beyond the discipline/program, that provide a well-rounded learning experience to the students) For example Arts and Humanities, Social Sciences, Business, ICT, Basic Science/STEM, other engineering, etc. (as applicable for the disciplined academic program).

     Sl	Course Code	Course Title	Credit
     1	HUM 1109	History of Emergence of Bangladesh	2.0
     2	HUM 4105	Professional Ethics and Environment	2.0
     3	MIS 4203	IT Project Management	2.0
     4	BUS 4205	ICT Business Entrepreneurship	2.0
     5	PHY 1205	Physics	3.0
     6	PHY 1206	Physics Lab	0.75
     7	MATH 1107	Differential and Integral Calculus	3.0
     8	MATH 1207	Linear Algebra	3.0
     9	MATH 2107	Differential Equations, Laplace Transform and Fourier Analysis	3.0
     10	STAT 2207	Probability and Statistics	3.0
     11	STAT 3107	Random Processes	3.0
     12	EEE 1105	Electrical Circuits	3.0
     13	EEE 1106	Electrical Circuits Lab	0.75
     14	EEE 1209	Electronic Devices and Circuits	3.0
     15	EEE 1210	Electronic Devices and Circuits Lab	0.75
     Total		(12 Theory and 3 Lab courses)	34.25

     • Core courses (Courses that characterize the discipline):

     Sl	Course Code	Course Title	Credit
     16	CSE 1101	Discrete Mathematics	3.0
     17	CSE 1103	Computational Problem Solving	3.0
     18	CSE 1104	Computational Problem Solving Lab	1.5
     19	CSE 1201	Structured Programming	3.0
     20	CSE 1202	Structured Programming Lab	1.5
     21	CSE 1203	Digital Logic Design	3.0
     22	CSE 1204	Digital Logic Design Lab	0.75
     23	CSE 2101	Data Structures and Algorithms	3.0
     24	CSE 2102	Data Structures and Algorithms Lab	1.5
     25	CSE 2103	Object Oriented Design and Programming	3.0
     26	CSE 2104	Object Oriented Design and Programming Lab	1.5
     27	CSE 2105	Computer Architecture and Microprocessor	3.0
     28	CSE 2106	Microprocessor and Assembly Language Lab	1.5
     29	CSE 2109	Data and Telecommunication	3.0
     30	CSE 2201	Database Management System	3.0
     31	CSE 2202	Database Management System Lab	1.5
     32	CSE 2203	Design and Analysis of Algorithms	3.0
     33	CSE 2204	Design and Analysis of Algorithms Lab	1.5
     34	CSE 2205	Microcontroller and Embedded System	3.0
     35	CSE 2206	Microcontroller and Embedded System Lab	1.5
     36	CSE 2209	Numerical Methods	3.0
     37	CSE 3101	Software Engineering	3.0
     38	CSE 3102	Software Design and Development Project	1.5
     39	CSE 3103	Web Engineering and Technology	3.0
     40	CSE 3104	Web Engineering and Technology Lab	1.5
     41	CSE 3105	Algorithm Engineering	3.0
     42	CSE 3109	Operating System	3.0
     43	CSE 3110	Operating System Lab	1.5
     44	CSE 3201	Computer Network	3.0
     45	CSE 3202	Computer Network Lab	1.5
     46	CSE 3203	Artificial Intelligence	3.0
     47	CSE 3204	Artificial Intelligence Lab	1.5
     48	CSE 3205	Information Security	3.0
     49	CSE 3206	Information Security Lab	1.5
     50	CSE 3207	Theory of Computation	3.0
     51	CSE 4101	Machine Learning	3.0
     52	CSE 4102	Machine Learning Lab	1.5
     53	CSE 4103	Internet of Things	3.0
     54	CSE 4104	Internet of Things Lab	1.5
     55	CSE 4201	Parallel and Distributed Systems	3.0
     56	CSE 4202	Parallel and Distributed Systems Lab	1.5
     Total		(23 Theory and 18 Lab courses)	95.25

     • Elective Courses (Courses for specialization within the discipline):

     ELECTIVE I courses with laboratories

     Sl	Course Code	Course Title	Credit
     1	CSE 3209	Digital Image Processing	3.0
     2	CSE 3210	Digital Image Processing Lab	1.5
     3	CSE 3211	Introduction to Data Science	3.0
     4	CSE 3212	Introduction to Data Science Lab	1.5
     5	CSE 3213	Bioinformatics	3.0
     6	CSE 3214	Bioinformatics Lab	1.5
     7	CSE 3215	Mobile Application Development	3.0
     8	CSE 3216	Mobile Application Development Lab	1.5
     9	CSE 3217	Simulation and Modeling	3.0
     10	CSE 3218	Simulation and Modeling Lab	1.5
     11	CSE 3219	Computer Graphics	3.0
     12	CSE 3220	Computer Graphics Lab	1.5
     13	CSE 3221	Wireless Networks	3.0
     14	CSE 3222	Wireless Networks Lab	1.5
     Total		(One theory course and its lab will be chosen by a student)	4.0

     ELECTIVE II courses with laboratories

     Sl	Course Code	Course Title	Credit
     1	CSE 4211	Deep Neural Network	3.0
     2	CSE 4212	Deep Neural Network Lab	1.0
     3	CSE 4213	Natural Language Processing	3.0
     4	CSE 4214	Natural Language Processing Lab	1.0
     5	CSE 4215	Data Mining	3.0
     6	CSE 4216	Data Mining Lab	1.0
     7	CSE 4217	Digital Forensics	3.0
     8	CSE 4218	Digital Forensics Lab	1.0
     9	CSE 4219	Software Security	3.0
     10	CSE 4220	Software Security Lab	1.0
     11	CSE 4221	Compiler Design	3.0
     12	CSE 4222	Compiler Design Lab	1.0
     13	CSE 4223	Cloud Computing	3.0
     14	CSE 4224	Cloud Computing Lab	1.0
     Total		(One theory course and its lab will be chosen by a student)	4.0

     ELECTIVE III courses without laboratory

     Sl	Course Code	Course Title	Credit
     1	CSE 4225	Big Data Analytics	3.0
     2	CSE 4227	Information Retrieval	3.0
     3	CSE 4229	Human Robot Interaction	3.0
     4	CSE 4231	Computer Vision	3.0
     5	CSE 4233	Software Testing and Quality Assurance	3.0
     6	CSE 4235	VLSI Design and Formal Verification	3.0
     7	CSE 4237	Parallel and Distributed Database Systems	3.0
     8	CSE 4239	Applied Cryptography	3.0
     9	CSE 4241	Wireless Network Security	3.0
     10	CSE 4243	Graph Theory	3.0
     11	CSE 4245	Operations Research	3.0
     12	CSE 4247	Quantum Computing	3.0
     13	CSE 4249	Game Theory	3.0
     14	CSE 4251	Human Computer Interaction	3.0
     Total		(One theory course will be chosen by a student)	3.0

   • Final Year Design Project and Internship (as applicable for the discipline/academic program):

Course flow diagram download from here.