Python for Artificial Intelligence MNCST319 KTU Minor 2024 - course details and syllabus

 

 SEMESTER 3

PYTHON FOR ARTIFICIAL INTELLIGENCE

 

Course Code	MNCST319	CIEMarks	40
Teaching Hours/Week(L:T:P)	3:1:0	ESEMarks	60
Credits	4	Exam Hours	2Hrs.30Min.
Prerequisites(ifany)	None	Course Type	Theory

Course Objectives:

1. To provide learners an insight into Python programming in a scientific computation context and develop programming skills to solve engineering problems

2. To give insights in developing AI&web based applications

3. To familiarize DataV isualization tools&its application.

                                    SYLLABUS

 

Module No.	Syllabus Description	Contact Hours
1	Foundations of Coding - Control statements - Selection structure (if- else), Iteration structure (for, while), Using built in functions and modules,Working with List,tuples.Sets,Dictionaries,Work with Functions-Arguments and return values,Lambda functions.	11
2	Design with classes - Objects and Classes, Methods, Instance Variables, Constructor, Accessors and Mutators. Structuring classes with Inheritance and Polymorphism. Abstract Classes. Exceptions-Handle a single exception,handle multiple exceptions.	11
3	Packages for Numerical Operations: NumPy - Basics, creatingarrays, Arithmetic, Slicing, Matrix Operations, Random Numbers, Linear Algebra-Solving System of Equations Plotting and visualization Packages- Matplotlib, Basic plot, Ticks, Labels, and Legends, Ploting graph with Numpy and Matplotlib-line, scatterplot,barchart,piechart,sine and s igmoidfunction setc,Basics of Seabornpackage.	11
4	Packages for data processing and prediction: Pandas - Series and DataFrame, Reading Data from Files Using Pandas, Extracting Information from a DataFrame, Grouping and Aggregation, Data cleaning functions. Implentation of Simple Regression Problem-Reading and preprocessing the data from CSVfile,Prediction using scikit-learn library.	11

Course Assessment Method(CIE: 40 marks,ESE: 60 marks)

 

Continuous Internal Evaluation Marks(CIE):

 

Attendance	Assignment/ Microproject	Internal Examination-1 (Written)	Internal Examination-2 (Written )	Total
5	15	10	10	40

End Semester examination Marks(ESE)

In PartA,all questions need to be answered and in PartB,eachs tudent can choose any one full question out of two questions

 

Part A	Part B	Total
·      2 Questions from each module. ·      Total of 8 Questions,each carrying 3 marks   (8x3=24marks)	1.    Each question carries 9 marks. 2.    Two questions will be given from each module, out of which 1 question should be answered. 3.    Each question can havea maximum of 3sub divisions. (4x9=36marks)	60

Course Outcomes(COs)

At the end of the course students should be able to:

 

Course Outcome		Bloom’s Knowledge Level(KL)
CO1	Write,test and debug Python programs using conditional and iterative statements	K3
CO2	Develop programs by utilizing the modules Lists, Tuples, Sets and Dictionaries in Python and functions	K3
CO3	Implement Object Oriented programs with exception handling	K3
CO4	Write programs in Python to process data stored in files for predicting the results	K3

Note:K1-Remember,K2-Understand,K3-Apply,K4-Analyse,K5-Evaluate,K6-Create

CO-POMappingTable:

 

	PO1	PO2	PO3	PO4	PO5	PO6	PO7	PO8	PO9	PO10	PO11	PO12
CO1	3		3		3							3
CO2	3		3		3							3
CO3	3	3	3		3							3
CO4	3	3	3		3							3

  

TextBooks
Sl.No	TitleoftheBook	NameoftheAuthor/s	Nameofthe Publisher	Editionand Year
1	FundamentalsofPython:First Programs	KennethALambert	CengagePublishing	2/e,2016
2	PythonforDataAnalysis,	WesMcKinney	Shroff/O’Reilly Publishers	2/e,2017
3	IntroductiontoPythonfor ScienceandEngineering,	DavidJ.Pine,	CRCPress	1/e,2021
4	TheCompleteReferencePython	MartinC.Brown	McGrawHill	1/e,2018

 

 

ReferenceBooks
Sl.No	TitleoftheBook	NameoftheAuthor/s	NameofthePublisher	Editionand Year
1	Think Python: How to Think Like a Computer Scientist,	AllenB.Downey	Schroff	2/e,2016
2	Python Programming, Shroff/Murach	Michael Urbanand Joel Murac	Shroff/Murach,2016	2016
3	PythonEssentialReference.	DavidM.Baezly	Addison-Wesley Professional	4/e,2009.
4	Python for Informatics: Exploring Information,	CharlesSeverance	Addison-Wesley Professional	2009

 

 

VideoLinks(NPTEL,SWAYAM…)
Module No.	LinkID
1	TheJoyofComputingusingPython-CourseByProf.SudarshanIyengar,Prof.Yayati Gupta | IIT Ropar
2	ProgramminginPython -CourseByDr.RizwanRehman|DibrugarhUniversity