AKTU Programming Languages Syllabus 2026-27 (ACS101) — Full C & Python Breakdown
Programming Languages is where most first-year AKTU students form their opinion of engineering itself — either "okay, I can do this" or genuine panic in week two. Having gone through this exact scheme myself, my honest advice is: it's more approachable than it looks on paper, provided you actually treat the tutorial hour as coding practice and not a free period.
Programming Languages is a core Engineering Science Course in the AKTU B.Tech First Year CSE Stream syllabus 2026-27, carrying course code ACS101, and it's genuinely well designed — it teaches C first for the fundamentals, then pivots to Python in the back half so you leave the semester knowing two languages that cover very different parts of the industry.
Quick Facts: AKTU Programming Languages Syllabus 2026-27
| Particular | Details |
|---|---|
| Course Code | ACS101 |
| Course Category | Engineering Science Course (ESC) |
| Credits | 03 |
| NCrF Hours | 45 |
| Languages Covered | C and Python |
| Tools | GCC / Code::Blocks / VS Code + Google Colab / Jupyter |
| Tutorial Hours | 1 per week, 15 weeks of structured problems |
Unit-Wise Course Content
Unit I: Programming Basics in C (20% weightage)
You'll start with the structure of a C program, compilation and execution, data types, variables, constants, operators, and basic input/output using scanf and printf. It's the classic "hello world and arithmetic" starting point, but the syllabus explicitly connects it to the real world — C is what powers embedded systems, microcontrollers, and OS kernels, which is a good thing to remember when the syntax feels tedious in week one.
Unit II: Decision Making and Control Flow in C (20% weightage)
This unit covers control statements, loops (for, while, do-while), break and continue, functions with call-by-value, and recursion through simple examples like factorial and Fibonacci. The syllabus frames control flow as "the brain of every program" — from traffic signal logic to drone autopilot decisions — which is actually a fair description of why this unit matters more than it seems.
Unit III: Advanced Programming Concepts in C (20% weightage)
Here you'll work with 1D arrays (declaration, input, output, traversal, finding max/min/sum/average), strings using gets/puts, strlen, strcpy, and strcmp, an introductory concept of pointers, structures, and basic file handling. Arrays here are described as the same concept that stores sensor readings, image pixels, and stock prices — and pointers as the foundation of memory management in embedded systems.
Unit IV: Python Introduction (20% weightage)
This is the pivot point of the course. You'll cover why Python matters (AI, Data Science, Web, Automation), Python basics — variables, data types, print, input, operators — control flow with if/else and loops, and functions with default arguments. The syllabus is upfront that Python is the dominant language in AI/ML and automation right now, with the same core logic as C but noticeably less boilerplate.
Unit V: Python Data Structures and Emerging Applications (20% weightage)
The final unit covers Python's built-in list, tuple, dictionary, and set types, basic file handling (reading/writing text files and CSVs), and a genuinely exciting first look at NumPy (arrays, mean, simple arithmetic) and Matplotlib (a simple line graph) — capped off with a mini-demo simulating IoT sensor readings and plotting them. This is deliberately the on-ramp to AI, IoT, and Data Science using the same Python basics from Unit IV.
The Tutorial Schedule (This Is Where You Actually Learn to Code)
AKTU has structured 15 weeks of hands-on tutorial problems, starting with basics like printing your name and adding two numbers in week 1, moving through calculators, grade systems, prime number generation, factorial and Fibonacci using recursion, array operations, and string manipulation through week 10 — all in C. From week 11 onward, it shifts entirely to Python: Hello World, a BMI calculator, temperature converter, grade calculator, list and dictionary operations, file handling, and finally NumPy and Matplotlib demos by week 15. If you genuinely solve every one of these problems yourself as they come, the end-semester exam stops being scary.
Evaluation Pattern
| Component | Marks | Weightage |
|---|---|---|
| Class Tests (CT) — short questions + program writing | 15 | 15% |
| Teacher's Assessment (TA) — Tutorial performance + Assignments + Quiz | 15 | 15% |
| End Semester Examination — theory + program writing (both languages) | 70 | 70% |
Recommended Books and Free Resources
For C fundamentals, Let Us C by Yashavant Kanetkar remains the most commonly recommended starting point among AKTU students, alongside Problem Solving and Programming in C by Sridhar & Hariharan. For Python, Python Crash Course by Eric Matthews and Python Programming by Sridhar, Indumathi & Hariharan are both on the official list. For free practice, OnlineGDB and Google Colab need zero installation, and HackerRank's free, auto-graded C and Python tracks are genuinely good for building exam-day confidence.
My Honest Take
The thing I'd tell any first-year student starting this subject: don't skip the C units to "get to Python faster." The pointer and array concepts in Units I-III are what make Python's data structures in Unit V actually click, instead of feeling like memorized syntax. And if a NumPy array or a Matplotlib plot in Unit V feels intimidating right now, that's completely normal — by the time you reach Essentials of Data Structures next semester, this exact foundation is what everything else builds on.
Frequently Asked Questions
What is the course code for AKTU Programming Languages?
The course code is ACS101, an Engineering Science Course worth 3 credits and 45 NCrF hours in Semester I.
Which programming languages are covered in this subject?
Both C and Python are covered — C in Units I-III for fundamentals, control flow, and arrays/pointers, and Python in Units IV-V for modern applications including NumPy and Matplotlib.
Do I need prior coding experience for this course?
No. The course starts from the absolute basics of C programming and assumes no prior coding background.
Is there a tutorial or lab component?
Yes, one compulsory tutorial hour per week with structured, week-by-week coding problems across all 15 weeks of the semester.
What tools do I need for this course?
GCC, Code::Blocks, or VS Code for C, and Google Colab or Jupyter for Python — all free, with Google Colab requiring no installation at all.
How is Programming Languages evaluated?
30% internal assessment (class tests, tutorial performance, assignments, quizzes) and 70% end-semester examination covering both theory and program writing in both languages.
Continue with the AKTU Essentials of Data Structures syllabus for Semester II, which builds directly on this course, or go back to the complete AKTU B.Tech 1st Year syllabus overview.