Internet of Things and Robotics Engineering

Common Courses for B.Sc.  Programs of the University

Mathematics: (Total: 12 Credits)

1. DS 107: Probability and Statistics
2. CSE 115: Discrete Mathematics and Graph Theory
3. MATH 209: Engineering Mathematics
4. MATH 217: Advanced Mathematics

Programming: (15 + 5 = 20 Credits)

1. PROG 101, 102: Structured Programming Language+ Sessional
2. PROG 111,112: Object Oriented Programming Language+ Sessional
3. CSE 113,114: Data Structure and Algorithms+ Sessional
4. CSE 201,202: Database Management System+ Sessional
5. PROG 301, 302: Advanced Programming with Python and Scripting+ Sessional

Other courses: (21 + 4 = 25 Credits)

1. SEC 105: Basic Principles of Cyber Security
2. HIS 109: History of the Emergence of Independent Bangladesh
3. CSE 203,204: Operating System and Unix Programming + Sessional
4. CSE 219: Industrial Revolutions and Emerging Technologies
5. NEM 481,482: Computer Networking+ Sessional
6. CC 483,484: Cloud Computing+ Sessional
7. ENG 407,408: Technical and Academic Writing+ Sessional

Total = 12 + 20 + 25 = 57 Credits; 16 Theory Courses; 9 Sessional Courses.

IoT and Robotics Engineering Special Courses

17. IRE 103: Electrical Circuits and Devices
18. IRE 105,106: Electronics Devices and Applications + Sessional
19. IRE 117: Engineering Mechanics and Materials
20. IRE 118: Engineering Drawing Sessional
21. IRE 203: Introduction to IoT and Robotics
22. IRE 205, 206: Microprocessor and microcontroller System Design + Sessional
23. IRE 211,212: IoT Architecture and Technologies+ Sessional
24. IRE 215,216: Sensor Technology+ Sessional
25. IRE 303: Signals and Systems
26. IRE 305: Robotics Dynamics and Kinematics
27. IRE 307,308: System Design, Engineering and Testing + Sessional
28. IRE 313,314: Modeling and Simulation of Robotic System + Sessional
29. IRE 315,316: Embedded Systems+ Sessional
30. IRE 317: Control System Engineering
31. IRE 403,404: Computer Graphics and Animation + Sessional
32. AI 483,484: Artificial Intelligence and Machine Learning + Sessional
33. IRE 413,414: Human Machine Interaction + Sessional
34. IRE 415,416: Computer Vision +Sessional
35. CYB 485: Cybernetics
36. Option + Sessional
37. Option + Sessional

IoT and Robotics Engineering Optional Courses

• IRE 451,452: Industrial Robots + Sessional
• IRE 455,456: Industrial IoT and Automation + Sessional
• IRE 459,460: Mobile Platform for IoT Devices + Sessional
• IRE 461,462: Programming for Embedded Systems + Sessional
• IRE 465,466: Digital Signal Processing + Sessional
• DS 483,484: Data Science + Sessional
• DS 313,314: Big Data Acquisition and Analytics + Sessional
• IRE 467,468: Advanced Robotic Systems + Sessional
• IRE 469,470: IoT and Robotic Security and Privacy + Sessional

Total: 57 Cr (Common) + 20 (Theory) x 3 + 3 (Capstone Project) + 6 (Project and Thesis) + 14 (Lab) x 1 = 140 Cr

More Requirements for Graduation

1. All students must complete the university prescribed soft-skills development program (e.g., Soft-skills development program offered by Wadhwani Foundation) to become eligible for graduation. This is a basic requirement for graduation and shall not be reflected in transcript as a course.
2. Audit courses:
3. Completion of audit course is not a requirement for gradation but shall be shown in the transcript, if completed, without impacting grade calculation.
4. A student may take at most two audit courses – one after completion of level 2 and another after completion of level 3.
5. List of Audit Courses includes (i) IPT 200S: Six Months Industrial and Professional Training (After Completion of Level 2); (ii) IPT 200L: Twelve Months Industrial and Professional Training (After Completion of Level 2); (iii) IPT 300S: Six Months Industrial and Professional Training (After Completion of Level 3); and (iv) IPT 300L: Twelve Months Industrial and Professional Training (After Completion of Level 3).

Level and Term-wise Course Distribution

Level-1 Term-1

Level-1 Term-2

Level-2 Term-1

Level-2 Term-2

More Details