GUJARAT TECHNOLOGICAL UNIVERSITY (GTU)#
Competency-focused Outcome-based Green Curriculum-2021 (COGC-2021) Semester -I#
Course Title:
Python Programming
(Course Code: 4311601)
| Diploma programme in which this course is offered | Semester in which offered |
|---|---|
| Information Technology | First |
1. RATIONALE#
Computer programming skills are now becoming part of basic education as these skills are increasing of vital importance for future job and career prospects. The Python programming language is one of the most popular programming languages worldwide. The course emphasizes the use of python programming in multiple domains. Python is a modern language useful for writing compact codes specifically for programming in the area of Serverside Web development, Data Analytics, AI, and scientific computing as well as production tools and game programming.
This course focuses on developing python programming to do a variety of programming tasks where the students are encouraged to develop basic applications using different open source tools. At the end of the course, the student will be developing adequate basic programming skills using python language.
2. COMPETENCY#
The purpose of this course is to help the student to attain the following industry identified competency through various teaching learning experiences.
· Develop a program using Python language to solve the given problem.#
3. COURSE OUTCOMES (COs)#
The practical exercises, the underpinning knowledge and the relevant soft skills associated with the identified competency are to be developed in the student for the following Course Outcomes (COs) achievement :
- a) Prepare flowchart and algorithm for solving computing problems.
- b) Develop python programs to solve simple problems.
- c) Apply control structure feature of python for developing programs.
- d) Develop a program in Python using built-in functions, modules, and library functions.
- e) Develop python programs applying strings and lists manipulation concepts.
4. TEACHING AND EXAMINATION SCHEME#
| Teaching Scheme | Teaching Scheme | Teaching Scheme | Total Credits | Examination Scheme | Examination Scheme | Examination Scheme | Examination Scheme | Examination Scheme |
|---|---|---|---|---|---|---|---|---|
| (In Hours) | (In Hours) | (In Hours) | (L+T+P/2) | Theory Marks | Theory Marks | Practical Marks | Practical Marks | Total |
| L | T | P | C | CA | ESE | CA | ESE | Marks |
| 3 | - | 4 | 5 | 30* | 70 | 25 | 25 | 150 |
(*): Out of 30 marks under the theory CA, 10 marks are for assessment of the micro-project to facilitate integration of COs and the remaining 20 marks is the average of 2 tests to be taken during the semester for assessing the attainment of the cognitive domain UOs required for the attainment of the COs .
Legends: LLecture; T - Tutorial/Teacher Guided Theory Practice; P -Practical; C - Credit, CA -Continuous Assessment; ESE -End Semester Examination.
5. SUGGESTED PRACTICAL EXERCISES#
The following practical outcomes (PrOs) are the sub-components of the COs. These PrOs need to be attained to achieve the COs.
| S. No. | Practical Outcomes (PrOs) | Unit No. | Approx. Hrs. required |
|---|---|---|---|
| 1 | Prepare flowchart and algorithm for a given problem.(Following are the sample programs. Faculty can select any other similar programs for the practice of the students.) i. Find the sum of two given numbers. ii. Find a maximum out of two given numbers. iii. Find whether a given number is odd or even. iv. Find a maximum out of three given numbers. | I | 02 |
| 2 | Install & configure python software. | II | 02 |
| 3 | Create a program to print your name, mobile number, and date of birth. | II | 02 |
| 4 | Develop a program to identify data-types in python. | II | 02 |
| 5 | Create a program to read three numbers from the user and find the average of the numbers. | II | 02 |
| 6 | Develop a program that can calculate simple interest and compound interest on given data. | II | 02 |
| 7 | Write a program to convert temperature from Fahrenheit to Celsius unit using eq: C=(F-32)/1.8 | II | 02 |
| 8 | Identify whether the scanned number is even or odd and print an appropriate message. | III | 02 |
| 9 | Create a program to find a maximum number among the given three numbers. | III | 02 |
| 10 | Develop a program to demonstrate the basic functionalities of a standard calculator. | III | 02 |
| 11 | Write a python program to print 1 to 10 numbers using loops. | III | 02 |
| 12 | Develop a program to find odd and even numbers from 1 to N numbers. (Where N is an integer number) | III | 02 |
| 13 | Write a program to show whether the entered number is prime or not. | III | 02 |
| S. No. | Practical Outcomes (PrOs) | Practical Outcomes (PrOs) | Unit No. | Approx. Hrs. required |
|---|---|---|---|---|
| 14 | Create a program to display the following patterns. | Create a program to display the following patterns. | III | 02 |
| 14 | A) 1 1 2 1 2 3 1 2 3 4 1 2 3 4 5 | B) * * * * * * * * * * * * * * * | ||
| 15 | Create a user-defined function to print the Fibonacci series of 0 to N numbers. (Where N is an integer number and passed as an argument) | Create a user-defined function to print the Fibonacci series of 0 to N numbers. (Where N is an integer number and passed as an argument) | IV | 04 |
| 16 | Develop a user-defined function to find the factorial of a given number. | Develop a user-defined function to find the factorial of a given number. | IV | 02 |
| 17 | Write a program using the function that reverses the entered value. | Write a program using the function that reverses the entered value. | IV | 02 |
| 18 | Write a program that determines whether a given number is an armstrong number or a palindrome using a user-defined function. | Write a program that determines whether a given number is an armstrong number or a palindrome using a user-defined function. | IV | 04 |
| 19 | Write a program to find the length of a string. | Write a program to find the length of a string. | V | 02 |
| 20 | Write a program to reverse words in a given sentence. | Write a program to reverse words in a given sentence. | V | 02 |
| 21 | Write a program to check if a substring is present in a given string. | Write a program to check if a substring is present in a given string. | V | 02 |
| 22 | Write a program to count and display the number of vowels, consonants, uppercase, lowercase characters in a string. | Write a program to count and display the number of vowels, consonants, uppercase, lowercase characters in a string. | V | 02 |
| 23 | Develop programs to perform the following list operations. a)To swap given two elements in a list. b)To find the sum of elements in a list. | Develop programs to perform the following list operations. a)To swap given two elements in a list. b)To find the sum of elements in a list. | V | 02 |
| 24 | Develop programs to perform the following list operations. a)To check if an element exists in a given list. b)To find the smallest and largest element in a given list. | Develop programs to perform the following list operations. a)To check if an element exists in a given list. b)To find the smallest and largest element in a given list. | V | 02 |
| 25 | a) Given a list saved in variable: a = [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]. Write one line of Python that takes this list and makes a new list that has only the even elements of this list in it. b) Create a list containing the square of all odd numbers from range 1 to 10. c) Create a list of prime and non-prime numbers in range 1 to 50. | a) Given a list saved in variable: a = [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]. Write one line of Python that takes this list and makes a new list that has only the even elements of this list in it. b) Create a list containing the square of all odd numbers from range 1 to 10. c) Create a list of prime and non-prime numbers in range 1 to 50. | V | 04 |
| Total | Total | Total | 56 |
Note#
- i. More Practical Exercises can be designed and offered by the respective course teacher to develop the industry relevant skills/outcomes to match the COs. The above table is only a suggestive list .
- ii. The following are some sample ‘Process’ and ‘Product’ related skills (more may be added/deleted depending on the course) that occur in the above listed Practical Exercises of this course required which are embedded in the COs and ultimately the competency.
| S. No. | Sample Performance Indicators for the PrOs | Weightage in % |
|---|---|---|
| 1 | Identify suitable approach to implement logic | 25 |
| 2 | Use pre-built packages/functions | 20 |
| 3 | Use python concepts to implement efficient program | 25 |
| 4 | Follow different input test cases to check output | 10 |
| 5 | Identify and mend coding errors in a program / Interpret the result and conclude | 20 |
| Total | Total | 100 |
6. MAJOR EQUIPMENT/ INSTRUMENTS AND SOFTWARE REQUIRED#
These major equipment with broad specifications for the PrOs is a guide to procure them by the administrators to usher in uniformity of practical in all institutions across the state.
| S. No. | Equipment Name with Broad Specifications | PrO. No. |
|---|---|---|
| 1 | Computer system with operating system: Windows 7 or higher Ver., macOS, and Linux, with 4GB or higher RAM, Python versions: 2.7.X, 3.6.X | All |
| 2 | Python IDEs and Code Editors Open Source : IDLE, Jupyter | 2 to 8 |
7. AFFECTIVE DOMAIN OUTCOMES#
The following sample Affective Domain Outcomes (ADOs) are embedded in many of the above mentioned COs and PrOs. More could be added to fulfil the development of this course competency.
- a) Follow safety practices.
- b) Practice good housekeeping.
- c) Demonstrate working as a leader/a team member.
- d) Maintain tools and equipment
- e) Follow ethical practices.
The ADOs are best developed through the laboratory/field based exercises. Moreover, the level of achievement of the ADOs according to Krathwohl’s ‘Affective Domain Taxonomy’ should gradually increase as planned below:
- i. ‘Valuing Level’ in 1 st year
- ii. ‘Organization Level’ in 2 nd year.
- iii. ‘Characterization Level’ in 3 rd year.
8. UNDERPINNING THEORY#
The major underpinning theory is given below based on the higher level UOs of Revised Bloom’s taxonomy that are formulated for development of the COs and competency. If required, more such UOs could be included by the course teacher to focus on attainment of COs and competency.
| Unit | Unit Outcomes (UOs) (4 to 6 UOs at different levels) | Topics and Sub-topics |
|---|---|---|
| Unit - I Problem Solving using Flowchart and Algorithm | 1.1 Explain steps to solve a problem. 1.2 Draw flowchart of given problem based on sequence, selection, repetition. 1.3 Write pseudocode for the given problems. | 1.1.1 Introduction, Steps for problem-solving, Algorithm and its characteristics, Importance of flowchart and algorithm 1.2.1 Symbolic representation of a flowchart, Limitations of flowchart Flow of control 1.3.1 Problem solving using pseudocode |
| Unit - II Python Introduction | 2.1 Explain the given features and applications of python. 2.2 Write steps to Install the latest version of python 2.3 Apply given keywords, identifiers, variables, data types, and operators in python programs. 2.4 Write pseudocode for the explicit and implicit type conversion. | 2.1.1 Introduction to python, Python features, Applications of python programming 2.2.1 Python installation 2.3.1 Basic structure of python program, Keywords, identifiers, and variables, Data types, Operators 2.4.1 Type Conversion |
| Unit- III Flow of Control | 3.1 Classify control structure. 3.2 Write pseudocode for the flow of control using different selection types. 3.3 Write pseudocode for the flow of control using different repetition types. 3.4 Implement break and continue statements in the python program. | 3.1.1 Introduction to Flow of Control 3.2.1 Selection - If statement - Elif statement - Nested if statement 3.3.1 Repetition - For loop - While loop - Nested loop 3.4.1 Break and Continue Statements |
| Unit- IV Functions | 4.1 Write pseudocode for user- defined functions. 4.2 Apply Global and Local variable concepts in python program. 4.3 Use built-in functions and modules. | 4.1.1 Introduction to Functions - User Defined Functions - Arguments and Parameters 4.2.1Scope of a Variable - Global Variable - Local Variable |
| Unit | Unit Outcomes (UOs) (4 to 6 UOs at different levels) | Topics and Sub-topics |
|---|---|---|
| 4.3.1 Python Standard Library - Built-in functions - Input or output - input() , print() - Mathematical Functions - abs(), divmod(), max(), min(), pow(), sum() - Module - math - random - statistics | ||
| Unit- V Strings and Lists | 5.1 Use of string operations in python programs. 5.2 Use built-in functions for string manipulation. 5.3 Write pseudocode for list operations. 5.4 Use built-in functions for list manipulation. | 5.1.1 Introduction to Strings, String Operations, Traversing a String 5.2.1 Strings Methods and Built-in Functions 5.3.1 Introduction to List and its Operations 5.4.1 List Methods and Built-in Functions - Nested and Copying Lists - List as Arguments to Function |
9. SUGGESTED SPECIFICATION TABLE FOR QUESTION PAPER DESIGN#
| Unit No. | Unit Title | Teaching Hours | Distribution of Theory Marks | Distribution of Theory Marks | Distribution of Theory Marks | Distribution of Theory Marks |
|---|---|---|---|---|---|---|
| Unit No. | Unit Title | Teaching Hours | R Level | U Level | A | Total Marks |
| I | Problem Solving using Flowchart and Algorithm | 04 | 02 | 02 | 04 | 08 |
| II | Introduction to Python | 08 | 04 | 04 | 04 | 12 |
| III | Flow of Control | 10 | 04 | 04 | 08 | 16 |
| IV | Functions | 08 | 04 | 04 | 08 | 16 |
| V | Strings and Lists | 12 | 02 | 06 | 10 | 18 |
| Total | Total | 42 | 16 | 20 | 34 | 70 |
Legends: R=Remember, U=Understand, A=Apply and above (Revised Bloom’s taxonomy)
Note : This specification table provides general guidelines to assist students for their learning and to teachers to teach and question paper designers/setters to formulate test items/questions to assess the attainment of the UOs. The actual distribution of marks at different taxonomy levels (of R, U and A) in the question paper may slightly vary from above table.
10. SUGGESTED STUDENT ACTIVITIES#
Other than the classroom and laboratory learning, following are the suggested studentrelated co-curricular activities which can be undertaken to accelerate the attainment of the
various outcomes in this course: Students should perform following activities in group and prepare reports of about 5 pages for each activity. They should also collect/record physical evidences for their (student’s) portfolio which may be useful for their placement interviews:
- a) Prepare a document which differentiates python versions.
- b) Undertake micro-projects in teams
- c) Give a seminar on any relevant topics.
- d) Undertake a market survey of different python frameworks.
11. SUGGESTED SPECIAL INSTRUCTIONAL STRATEGIES (if any)#
These are sample strategies, which the teacher can use to accelerate the attainment of the various outcomes in this course:
- a) Massive open online courses ( MOOCs ) may be used to teach various topics/subtopics.
- b) Guide student(s) in undertaking micro-projects.
- c) ‘L’ in section No. 4 means different types of teaching methods that are to be employed by teachers to develop the outcomes.
- d) About 20% of the topics/sub-topics which are relatively simpler or descriptive in nature is to be given to the students for self-learning , but to be assessed using different assessment methods.
- e) With respect to section No.10 , teachers need to ensure to create opportunities and provisions for co-curricular activities .
- f) Guide students for open source python editors.
12. SUGGESTED MICRO-PROJECTS#
Only one micro-project is planned to be undertaken by a student that needs to be assigned to him/her in the beginning of the semester. In the first four semesters, the micro-project are group-based (group of 3 to 5). However, in the fifth and sixth semesters , the number of students in the group should not exceed three.
The micro-project could be industry application based, internet-based, workshop-based, laboratory-based or field-based. Each micro-project should encompass two or more COs which are in fact, an integration of PrOs, UOs and ADOs. Each student will have to maintain dated work diary consisting of individual contribution in the project work and give a seminar presentation of it before submission. The duration of the microproject should be about 14 -16 (fourteen to sixteen) student engagement hours during the course. The students ought to submit micro-project by the end of the semester to develop the industry-oriented COs.
A suggestive list of micro-projects is given here. This has to match the competency and the COs. Similar micro-projects could be added by the concerned course teacher:
- Case Study 1: Compare three various tools functionality for python programming development.
- Case Study 2: List out new features of python 3.9 version and compare with older two different versions.
- Case Study 3: Study math module of python and explain real life usage with examples.
13. SUGGESTED LEARNING RESOURCES#
| S. No. | Title of Book | Author | Publication with place, year and ISBN |
|---|---|---|---|
| 1 | Learn Programming in Python with Cody Jackson | Cody Jackson | Packt Publishing, 2018, ISBN : 9781789531947 |
| 2 | Python Basics: A Practical Introduction to Python 3 | David Amos, Dan Bader et. al. | Real Python, 2021 ISBN : 9781775093329 |
| 3 | Introduction to Problem Solving with Python | E. Balagurusamy | Mc Graw Hill India, New Delhi, 2017 ISBN: 9789352602582 |
| 4 | Beginning Python | James Payne | Wiley, 2010 ISBN: 9780470414637 |
| 5 | Think Python | Allen Downey | O’Reilly, USA, 2016, ISBN : 978-9352134755 |
14. SOFTWARE/LEARNING WEBSITES#
- a) www.python.org
- b) www.learnpython.org
- c) www.hackr.io/tutorials/learn-python
- d) www.sololearn.com/learning/1073
- e) www.nptel.iitm.ac.in
15. PO-COMPETENCY-CO MAPPING#
| Semester I | Semester I | Python Programing (Course Code : 4311601) | Python Programing (Course Code : 4311601) | Python Programing (Course Code : 4311601) | Python Programing (Course Code : 4311601) | Python Programing (Course Code : 4311601) | Python Programing (Course Code : 4311601) | Python Programing (Course Code : 4311601) |
|---|---|---|---|---|---|---|---|---|
| Competency & Course Outcomes | Competency & Course Outcomes | PO 1 Basic & Discipline specific knowledge | PO 2 Problem Analysis | PO 3 Design/ develop- ment of solutions | POs PO 4 Engineering Tools, Experimen- tation &Testing | PO 5 Engineering practices for society, sustainability & environment | PO 6 Project Manage- ment | PO 7 Life-long learning |
| Competency | Competency | Develop a program using Python language to solve a the given problem | Develop a program using Python language to solve a the given problem | Develop a program using Python language to solve a the given problem | Develop a program using Python language to solve a the given problem | Develop a program using Python language to solve a the given problem | Develop a program using Python language to solve a the given problem | Develop a program using Python language to solve a the given problem |
| CO a) | Course Outcomes Prepare flowchart and algorithm for solving computing problems. | 3 | 2 | 3 | 2 | - | 2 | 3 |
| CO b) Develop python programs to solve simple problems. | 3 | 2 | 3 | 2 | - | 2 | 3 | |
| CO c) | Apply control structures of python for developing programs. | 3 | - | 3 | 3 | - | 3 | 3 |
| CO d) | Develop a program in Python using built-in functions, modules, and library functions. | - | 3 | 3 | 3 | - | 3 | 3 |
| CO e) | Develop python programs applying strings and lists manipulation concepts. | - | 3 | 3 | 3 | - | 3 | 2 |
Legend: ’ 3’ for high, ’ 2 ’ for medium, ‘1’ for low and ‘-’ for no correlation of each CO with PO.
16. COURSE CURRICULUM DEVELOPMENT COMMITTEE#
GTU Resource Persons#
| S. No. | Name and Designation | Institute | Contact No. | |
|---|---|---|---|---|
| 1 | Mr. Mayank V. Parekh | Government Polytechnic, Ahmedabad | 079-26301285 | mayank.parekh50 @gmail.com |
| 2 | Ms. Ayesha S. Shaikh | R.C. Technical Institute, Ahmedabad | 079-27664785 (Ext. 961 & 962) | shaikh.ayesha0014 @gmail.com |
| 3 | Mr. Hardik Mandora | R.C. Technical Institute, Ahmedabad | 079-27664785 (Ext. 961 & 962) | hmandora@gmail.com |
NITTTR Resource Persons#
| S. No. | Name and Designation | Department | Contact No. Email |
|---|---|---|---|
| 1 | Dr. M.A. Rizvi, Associate Professor | Computer Science and Engineering Education | 0755-2661600 marizvi@nitttrbpl.ac.in |
| 2 | Dr. K.J. Mathai, Associate Professor | Media Research and Development Education | 0755-2661600 kjmathai@nitttrbpl.ac.in |