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Course Detail

Course Name Programming For Intelligent Systems
Course Code 25WN681
Program M.Tech. Wireless Networks & Applications (Specialising in IoT, AI, 5G, Blockchain) (For Working Professionals & Regular Students)
Semester 1
Credits 1
Campus Amritapuri

Syllabus

Syllabus

Introduction to Python, variables, data types, objects and object oriented programming, classes, inheritance, lists and indices, loops, conditional statements, functions, script files, loading and using modules 

Numpy arrays , Data analysis using pandas, plotting using Matplotlib, programming with spatial data 

Skills acquired : Basics of python programming 

Objectives and Outcomes

Course Outcome Statement (CO) 

CO1 

Develop problem-solving skills. Modularize a complex task and formulate a program structure with defined subtasks 

CO2 

Apply fundamental programming constructs such as logical flow control, loops, functions 

CO3 

Apply python specific data structures and concepts of object oriented programming 

CO4 

Create programs with python modules, packages and libraries 

 

CO – PO Affinity Map 

PO 

PO1 

PO2 

PO3 

PO4 

PO5 

PO6 

PO7 

PO8 

PO9 

PO10 

PO11 

PO12 

PS01 

PSO2 

PSO3 

CO 

CO1 

– 

– 

– 

– 

– 

– 

– 

– 

CO2 

– 

– 

– 

– 

– 

– 

– 

– 

CO3 

– 

– 

– 

– 

– 

– 

– 

– 

CO4 

– 

– 

– 

– 

– 

– 

– 

– 

 

3-strong, 2-moderate, 1-weak 

Text Books / References

  1. Downey, A. (2015). Think Python. " O'Reilly Media, Inc.". 
  2. McKinney, W. (2012). Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. O'Reilly Media, Inc. 
  3. https://www.earthdatascience.org/courses/intro-to-earth-data-science/ 
  4. Lutz, M. (2013). Learning python: Powerful object-oriented programming. " O'Reilly Media. 

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