Subjects in Computer Science and Engineering

1. Introduction to computers
2. Business systems
3. Internet technology
4. Programming in C
5. Programming in VB
6. Computer Organisation and Architecture
7. Data Structures
8. Operating Systems
9. Algorithm Analysis and Design
10. Object Oriented Programming (OOP)
11. DBMS
12. Computer Networks and Data Communication
13. Software Engineering / Software Architecture
14. Project Management
15. Computer Graphics
16. Multimedia and Virtual Reality
17. Distributed Systems
18. Digital Systems Design
19. Artificial Intelligence and Neural Networks
20. Wireless and Mobile Networks
21. Data warehousing and data mining
22. Cryptogrpaphy
23. Image Processing
24. Software Quality Management
25. Real time systems
26. Logic programming
27. Functional programming
28. Structures system analysis and design
29. Programming in Java
30. Management Information System
31. Engineering Mathematics
32. Numerical methods
33. Discrete mathematics
34. Theoretical computer science
35. Business communication
36. OODBMS
37. Network Security
38. Embedded Systems
39. E-commerce
40. Modeling and simulation
41. Parallel computing
42. Bio-informatics
43. Computer vision
44. Accounting
45. Financial Management
46. Operations Research
47. Techinical writing
48. Analog electronics
49. Digital electronics
50. Signals and Systems
51. Compiler Design
52. Microprocessor based system design
53. Engineering graphics
54. Applied mechanics
55. Material science
56. Circuit theory and degin
57. Electrical engineering
58. Control Engineering
59. Instrumentation and measurement
60. Electromagnetics and Radiation
61. Communication Engineering
62. Telecommunication
63. Microwave
64. Digital Communication
65. Satellite and Space communication
66. Opto-electronics
67. Solid state physics
68. Power electronics
69. Programming in Perl
70. Protein sequence, structure and modelling
71. Genomics and Proteomics
72. Information theory
73. Bio-statistics
74. Biomolecular structure and dynamics
75. Computational genomics
76. Machine learning
77. Computer Aided molecular modelling and rub discobersy