| Course Name | Computational Skills |
| Course Code | 24CSA105 |
| Program | B. Sc. Honors (with Research) in Molecular Medicine |
| Semester | 1 |
| Credits | 2 |
| Campus | Kochi |
Introduction to Computers: Characteristics of Computers, Uses of computers, Types and generations of Computers, Basic Computer Organization Units of a computer, CPU, ALU, memory hierarchy, registers, I/O devices User Interface with the Operating System, System
Binary representation of integers and real numbers, 1’s Complement, 2’s Complement, Addition and subtraction of binary numbers, BCD, ASCII, Unicode
Networks terminology: Types of networks, router, switch, server client architecture Multimedia, Stepwise methodology of developing an algorithm, developing macros in spreadsheet; General Awareness IT Act, System Security ( virus/firewall etc.)
Basics of machine learning and artificial intelligence, biological and medical case studies of machine learning and AI.
Course Outcomes ( CO )
CO1: Basic understanding of computers, evolution, it’s internal and external organization and operating system.
CO2 : Knowledge of computer data representation in different forms.
CO3 : Basic computer networks and its architecture details.
CO4 : Understanding the fundamentals of computer algorithms, IT awareness and security issues. machine learning and artificial intelligence
Program Outcomes ( PO )
PO1: Bioscience Knowledge
PO2: Problem Analysis
PO3: Design/Development of Solutions
PO4: Conduct Investigations of complex problems
PO5: Modern tools usage
PO6: Bioscientist and Society
PO7: Environment and Sustainability
PO8: Ethics
PO9: Individual & Team work
PO10: Communication
PO11: Project management & Finance
PO12: Lifelong learning
| c | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 |
| C O | ||||||||||||
| CO 1 | 1 | 1 | 3 | 1 | 1 | 1 | – | – | 1 | – | – | 2 |
| CO 2 | 1 | 2 | 3 | 1 | 2 | 1 | – | – | 1 | – | – | 2 |
| CO 3 | 1 | 2 | 3 | 1 | 2 | 1 | – | – | 1 | – | – | 2 |
| CO 4 | 1 | 1 | 3 | 1 | 2 | 1 | – | – | 1 | – | – | 2 |
3 = High Affinity, 2 = Medium Affinity, 1 = Low Affinity, – = No Affinity
Program Specific Outcomes ( PSO )
PSO 1 – Chemical and physical basis of biology
PSO 2 – Computational science in biology and medicine
PSO 3 – Biochemical and physiological complexity in biology and medicine
PSO 4 – Molecular technology in biology and medicine
PSO 5 – Cell based approaches in diagnosis and therapy
PSO 6 – Microorganisms in medicine
PSO 7 – Nanoscale entities and its significance in medicine
PSO 8 – Tissue architecture engineering in medicine
PSO 9 – Compounds as drugs and its efficacy
PSO 10 – Bioinformatics and artificial intelligence in medicine
PSO 11 – Technology in personalizing medicine
PSO 12 – Protein structural complexity in medicine
PSO 13 – Projecting science and medicine to public
| – | PSO1 | PSO2 | PSO3 | PSO4 | PSO5 | PSO6 | PSO7 | PSO8 | PSO9 | PSO10 | PSO11 | PSO12 | PSO13 |
| C O | |||||||||||||
| CO 1 | 1 | 2 | – | – | – | – | – | – | – | 1 | 1 | – | – |
| CO 2 | 1 | 2 | – | – | – | – | – | – | – | 1 | 1 | – | – |
| CO 3 | 1 | 2 | – | – | – | – | – | – | – | 2 | – | – | – |
| CO 4 | 1 | 2 | – | – | – | – | – | – | – | 1 | – | – | – |
| Internal Assessment – 50% | ||
| Periodical 1 | Exam | 20% |
| Periodical 2 | Exam | 20% |
| Continuous Assessment | Assignment/Test/Quiz | 10% |
| 50% | ||
| End Semester Examination- 50% | ||
| Theory Exam | 50% | |
| 50% | ||
| Total | 100% |
[1] V Rajaraman, Fundamentals of Computers, Fourth Edition, PHI.
[2] Anita Goel, Fundamentals of Computers; Forthcoming title in Pearson Education.
[3] Introduction to Machine Learning, By Ethem Alpayd in, 4th Edition, MIT press, 2020
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