Python Programming Language for Automation detail syllabus for Nanoelectronics (Nano), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17NT62), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other nano 6th sem syllabus for be 2017 scheme vtu you can visit Nano 6th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for python programming language for automation is as follows.
Course Objectives:
- To understand the programming python programming language
- To study implementation of python programmes for automation
Module 1:
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Module 2:
PYTHON – BASIC OPERATORS Types of Operators, Python Arithmetic Operators, Python Comparison Operators, Python, Python Assignment Operators, Python Bitwise Operators, Python Logical Operators, Python Membership Operators, Python Identity Operators, Python Operators Precedence. 10
Module 3:
PYTHON – DECISION MAKING If Statement, If else Statement, The elif Statement, Single 10
Statement Suites PYTHON – LOOPS While Loop, the Infinite Loop, Using else Statement with Loops, Single Statement Suites, For Loop, Iterating by Sequence Index, Using else Statement with Loops, Nested Loops, Loop Control Statements, Break Statement, Continue Statement, Pass Statement.
Module 4:
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Module 5:
PYTHON – LISTS Python Lists Accessing Values in Lists Updating Lists Deleting List Elements Basic List Operations Indexing, Slicing, and Matrixes Built-in List Functions – compare – length – max value – min value. PYTHON – TUPLES Accessing Values in Tuples Updating Tuples Deleting Tuple Elements, Basic Tuples Operations Indexing, Slicing, and Matrixes No Enclosing Delimiters, Built-in Tuple Functions – compare -length – max value – min value – tuple. 10
Course Outcomes:
After completion of this course students will be able to:
- Understand the basic syntax of python programming language
- Understand and apply the basic operation of python programming language
- Understand and apply the python decision making and python loops
- Understand and apply the python numbers and strings
- Understand and apply the python lists and tuples
Graduate Attributes (as per NBA):
- Engineering Knowledge.
- Problem Analysis.
- Design / development of solutions (partly).
- Interpretation of data.
Question paper pattern:
- The question paper will have ten questions.
- Each full Question consisting of 20 marks
- There will be 2 full questions (with a maximum of four sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer 5 full questions, selecting one full question from each module.
Text Books:
- Mark Lutz, Learning Python, 5th Edition, ISBN: 978-1-449-35573-9
- Allen Downey, Think Python: An Introduction to Software Design, ISBN: 1466367296, 9781466367296
Reference Books:
- Python Programming Language, tutorialspoint, www.tutorialspoint.com
For detail syllabus of all other subjects of BE Nano, 2017 scheme do visit Nano 6th Sem syllabus for 2017 scheme.
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