GE8151 PROBLEM SOLVING AND PYTHON PROGRAMMING SYLLABUS Regulation 2017 Semester 1 Anna University

GE8151 PROBLEM SOLVING AND PYTHON PROGRAMMING SYLLABUS Regulation 2017 Semester 1 Anna University

Anna University

Common to all Department

First Semester

GE8151 PROBLEM SOLVING AND PYTHON PROGRAMMING

(Regulation 2017) 

Syllabus

Syllabus Regulation : 2017

Semester : 1

Department : Common to All Department

Subject Code : GE8151

Subject Name : PROBLEM SOLVING AND PYTHON PROGRAMMING

Type : Syllabus

Edition Details : 2017 Edition (Original Version)

Attachment Type : pdf

Details : GE8151 PROBLEM SOLVING AND PYTHON PROGRAMMING (REG 2017)

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GE8151 PROBLEM SOLVING AND PYTHON PROGRAMMING SYLLABUS

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pspp syllabus notes ge8151 problem solving python programming regulation 2017 semester 1 anna university sem 1

 To learn GE8151 PROBLEM SOLVING AND PYTHON PROGRAMMING in a easy way, We have provided audio explanation in our regional language with notes, To view that CLICK HERE

OUTCOMES of this pspp syllabus:
  • Upon completion of the course, students will be able to
  • Develop algorithmic solutions to simple computational problems
  • Read, write, execute by hand simple Python programs.
  • Structure simple Python programs for solving problems.
  • Decompose a Python program into functions.
  • Represent compound data using Python lists, tuples, dictionaries.
  • Read and write data from/to files in Python Programs.
REFERENCES:

1. Charles Dierbach, “Introduction to Computer Science using Python: A Computational Problem-Solving Focus, Wiley India Edition, 2013.

2. John V Guttag, “Introduction to Computation and Programming Using Python’’, Revised and expanded Edition, MIT Press , 2013

3. Kenneth A. Lambert, “Fundamentals of Python: First Programs”, CENGAGE Learning, 2012.

4. Paul Gries, Jennifer Campbell and Jason Montojo, “Practical Programming: An Introduction to Computer Science using Python 3”, Second edition, Pragmatic Programmers,LLC,2013.

5. Robert Sedgewick, Kevin Wayne, Robert Dondero, “Introduction to Programming in Python: An Inter-disciplinary Approach, Pearson India Education Services Pvt. Ltd., 2016.

6. Timothy A. Budd, “Exploring Python”, Mc-Graw Hill Education (India) Private Ltd.,, 2015.

OBJECTIVES of this subject syllabus:

To know the basics of algorithmic problem solving

For reading and writeing simple Python programs.

To develop Python programs with conditionals and loops.

This is to define Python functions and call them.

To use Python data structures –- lists, tuples, dictionaries.

To do input/output with files in Python.

TEXT BOOKS:

1. Allen B. Downey, Think Python: How to Think Like a Computer Scientist’’, 2nd edition, Updated for Python 3, Shroff/O’Reilly Publishers, 2016

2. Guido van Rossum and Fred L. Drake Jr, “An Introduction to Python – Revised and updated for Python 3.2, Network Theory Ltd., 2011.

 

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