Page 17 - R2017 Final_BE Biomedical Curriculum and Syllabus - REC

Department of BME, REC

UNIT II DATA, EXPRESSIONS, STATEMENTS AND CONTROL FLOW 9
Python interpreter and interactive mode - values and types - data types – variables – keywords -
expressions and statements - python I/O - operators - precedence of operators – comments.
Conditionals: conditional (if) - alternative (if-else) - chained conditional (if-elif-else) – nested
conditional. Iteration: while – for - break – continue – pass. Illustrative programs: exchange the
values of two variables - circulate the values of n variables - test for leap year.

UNIT III FUNCTIONS 9
Function calls – type conversion – math function – composition - definition and use - flow of
execution - parameters and arguments. Fruitful functions: return values – parameters - scope: local
and global - recursion. Strings: string slices – immutability - string functions and methods - string
comparison. Illustrative programs: square root – GCD – exponentiation - sum the array of numbers
- linear search - binary search.

UNIT IV COMPOUND DATA: LISTS, TUPLES AND DICTIONARIES 9
Lists - list operations - list slices - list methods - list loop – mutability – aliasing - cloning lists - list
parameters. Tuples – immutable - tuple assignment - tuple as return value. Dictionaries: operations
and methods – dictionaries and tuples – dictionaries and lists. Advanced list processing - list
comprehension. Illustrative programs: Sorting.

UNIT V FILES, MODULES AND PACKAGES 9
Files and exception: file operation - text files - reading and writing files - format operator- command
line arguments - errors and exceptions - handling exceptions – writing modules – packages.
Illustrative programs: word count - copy file – case studies.
TOTAL: 45 PERIODS
OUTCOMES:
On completion of the course students will be able to
● Develop algorithmic solutions to simple computational problems.
● Structure simple Python programs for solving problems.
● Decompose a Python program into functions.
● Represent compound data using Python lists, tuples and dictionaries.
● Read and write data from/to files in Python programs.

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

REFERENCES:
1. Anita Goel, Ajay Mittal, Computer Fundamentals and programming in C, Pearson India
Publisher, First edition, 2013.
2. John V Guttag, Introduction to Computation and Programming Using Python, Revised
and expanded Edition, MIT Press, 2013
3. Robert Sedgewick, Kevin Wayne, Robert Dondero, Introduction to Programming in
Python: An Inter-disciplinary Approach, Pearson India Education Services Pvt. Ltd.,
2016.
4. Timothy A. Budd, Exploring Python, Mc-Graw Hill Education (India) Private Ltd. 2015.
5. Kenneth A. Lambert, Fundamentals of Python: First Programs, CENGAGE Learning,
2012.
6. Charles Dierbach, Introduction to Computer Science using Python: A Computational
Problem-Solving Focus, Wiley India Edition, 2013.
7. The Python Tutorial, https://docs.python.org/2.7/tutorial/

Curriculum and Syllabus | B.E Biomedical Engineering | R 2017 Page 17