| Course Name | Elements of Computing Systems 1 |
| Course Code | 19AIE101 |
| Program | B. Tech. in Computer Science and Engineering (Artificial Intelligence) |
| Semester | 1 |
| Year Taught | 2019 |
Machine level language Vs. High Level Language, Decimal to Binary Conversion, Boolean Logic, Logic Gates, Boolean Algebra, Combinational logic, ALU , Introduction to Hardware simulator platforms, Sequential logic, Flip Flops, Registers, RAM, ROM, Memory Elements Computer Architecture: Von-Neumann architecture, Machine language, Basic experiments using machine language, Assembler.
Course Objectives
The course will expose the students to basics of Boolean algebra and it will further help them to understand the workings of a modern computer. Students will be trained to build a computing system using elementary logic gates such as NAND, AND, OR etc. through simulation software.
Course Outcomes
| CO1 | To develop an understanding on Boolean Algebra and Digital Logic |
| CO2 | To introduce the implementation of digital logic systems |
| CO3 | To develop an understanding on the working of a modern computing system |
| PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | |
| CO1 | 3 | 3 | 2 | 2 | 3 | 3 | 2 | 3 | 3 | |||
| CO2 | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 2 | 3 | 3 | ||
| CO3 | 3 | 2 | 3 | 3 | 3 | 3 | 2 | 3 | 3 |
Course Evaluation Pattern:
Internal – 75%
External – 25%
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