3003-syllabus

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PROBLEM SOLVING AND PROGRAMMING L T P C 3003

COURSE OBJECTIVES

To develop an understanding of algorithmic problem solving
To read and write simple Python programs.
To develop Python programs with conditionals and loops.
To define Python functions and call them.
To use Python data structures –- lists, tuples, dictionaries.
To do input/output with files in Python.

UNIT I ALGORITHMIC PROBLEM SOLVING 9

Algorithms, building blocks of algorithms (instructions/statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem solving, simple strategies for developing algorithms (iteration, recursion). Illustrative problems: find minimum in a list, insert a card in a list of sorted cards, guess an integer number in a range, Towers of Hanoi.

UNIT II DATA, EXPRESSIONS, STATEMENTS 9

Python interpreter and interactive mode; values and types: int, float, booleans, strings, and lists; variables, expressions, statements, tuple assignment, precedence of operators, comments; modules and functions, function definition and use, flow of execution, parameters and arguments; Illustrative programs: exchange the values of two variables, circulate the values of n variables, test for leap year, distance between two points.

UNIT III CONTROL FLOW, FUNCTIONS 9

Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional (if-elif-else); Iteration: state, while, for, break, continue, pass; Fruitful functions: return values, parameters, scope: local and global, composition, recursion; Strings: string slices, immutability, string functions and methods, string module; Lists as arrays. Illustrative programs: square root, gcd, exponentiation, sum the array of numbers, linear search, binary search.

UNIT IV COMPOUND DATA: LISTS, TUPLES, DICTIONARIES 9

Lists, list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list parameters; Tuples, tuple assignment, tuple as return value; Dictionaries: operations and methods; advanced list processing - list comprehension; Illustrative programs: selection sort, insertion sort, merge sort, histogram.

UNIT V FILES, MODULES, PACKAGES 9

Files and exception: text files, reading and writing files, format operator, command line arguments, errors and exceptions, handling exceptions, modules, packages; Illustrative programs: word count, copy file,

TOTAL: 45 PERIODS

COURSE OUTCOMES

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.

TEXT BOOKS

Allen B. Downey, ``Think Python: How to Think Like a Computer Scientist’’, 2nd edition, Updated for Python 3, Shroff/O’Reilly Publishers, 2016 (http://greenteapress.com/wp/think-python/)

REFERENCES

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

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

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

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

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

  • The Python Tutorial, https://docs.python.org/2.7/tutorial/

Lab

COMPUTER PRACTICES LABORATORY LTPC 0042

COURSE OBJECTIVES

To write, test, and debug simple Python programs. To implement Python programs with conditionals and loops. Use functions for structuring Python programs. Represent compound data using Python lists, tuples, dictionaries. Read and write data from/to files in Python.

List of programs

- Compute the GCD of two numbers
- Find the square root of a number (Newton’s method)
- Exponentiation (power of a number)
- Linear search and Binary search
- First n prime numbers
- Find the maximum of a list of numbers
- Removing  all the duplicate elements in a list
- Selection sort, Insertion sort
- Merge sort, Quick sort
- Multiply matrices
- Programs that take command line arguments (word count)
- Find the most frequent words in a text read from a file

Platform needed

Python 3 interpreter for Windows/Linux TOTAL: 60 PERIODS

COURSE OUTCOMES

Upon completion of the course, students will be able to

  • Write, test, and debug simple Python programs.

  • Implement Python programs with conditionals and loops.

  • Develop Python programs step-wise by defining functions and calling them.

  • Use Python lists, tuples, dictionaries for representing compound data.

  • Read and write data from/to files in Python.

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