WILP Induction Orientation Details#

The BITS WILP (Work Integrated earning Program) is exclusively meant for the working professionals to make them remain relevant, employable and grow in their chosen profession while contributing to their organization, sector and society.

Platforms and services for accessing content#

The BITS Work Integrated Learning Program has the following services for access to content from emails, to courses and other resources

Service	URL	What it is for
Impartus	http://a.impartus.com/login/#/	Platform to join and watch live lectures that are conducted
ELearn Portal	https://elearn.bits-pilani.ac.in/	Single platform for Taxila courses, Old Materials and important announcements
Email	@wilp.bits-pilani.ac.in	All Institution Communications
Lab Platform	http://bitscsis.vlabs.platifi.com	Lab platform for running lab modules

Apart from the above services, students also have access to Experimental Learning through Virtual Labs and Remote Labs. Students also have access to an eLibrary where one have access to academic publications (Through Open VPN)

General Orientation#

Grading Procedure#

Students are graded with relative grading
Letter grades Range from \(A\), \(A-\), \(B\), \(B-\), \(C\), \(C-\), \(D\) and \(E\) where each letter corresponds to grade points \(10\), \(9\), \(8\), \(7\), \(6\), \(5\), \(4\) and \(2\) respectively
For project work a non-letter grade is awarded such as \(EXCELLENT\), \(GOOD\), \(FAIR\) and \(POOR\).
If a student is absent for any of the written examination, the student will be declared as a RRA (Required to Register Again) for that course.
The CGPA awarded in a \(10\) point scale is calculated as:

\[ CGPA = {(U_1G_1 + U_2G_2 + U_3G_3 + U_4G_4)\over(U1 + U2 + U3 + U4)} \]

Where \(U_1\), \(U_2\), \(U_3\) and \(U_4\) denote the Units associated with the courses taken \(G_1\), \(G_2\), \(G_3\) and \(G_4\) denote the Grade Points awarded in the respective courses.
Non Letter Grades DO NOT go into CGPA Computation

General Examination Schedules and Evaluative Components#

Two exams are conducted throughout the semester.
1. A mid semester Test
2. A Comprehensive Exam
Each of these two exams are conducted twice as a regular mode and a make up mode where one can take an examination at a separate date if one was not able to join the regular exam.

Evaluative Components:#

Evaluative Component	Name	Type	Duration	Session	Weightage
EC-1	Quizzes/Assignments/Labs	Online	As per course handouts	As per course page	~20%
EC-2	Mid-Semester Test	Online Open Book	2 Hours	Friday, Saturday and Sunday	~30%
EC-3	Quizzes/Assignments/Labs	Online Open Book	2 Hours	Friday, Saturday and Sunday	~50%

Program Specific Orientation (Software Systems with Data Analytics Specialization)#

Course Structure#

The MTech courses consists of 4 Core courses and 8 elective courses along with a dissertation.

The Core courses are as follows:
1. Data Structures and Algorithms Design
2. Database Design and Applications
3. Distributed Computing
4. Software Architectures

The General pool of electives are as follows:
1. Artifical Intelligence
2. Computer Organization
3. Distributed Data Systems
4. Software Engineering and Mangement
5. Usability Engineering
6. Object OPriented Analysis and Design

The Specialization pool of electives for Data Analytics are as follows:
1. Adv. Statistical Techniques for Analytics
2. Applied Machine Learning
3. Metaheuristics for Optimization
4. Data Mining
5. Data Warehousing
6. Deep Learning
7. Information Retrieval
8. Mathematical Foundations for Data Science (This is a mandatory course for this specialization)
9. Natural Language Processing

Semester Organization for Software Systems#

Year	Semester I	Units	Semester II	Units
I	Data Structures & Algorithms Design	5	Software Architectures	5
	DataBase Design & Applications	5	Elective 2	3(min)
	Distributed Computing	5	Elective 3	3(min)
	Elective 1	3(min)	Elective 4	4(min)
	TOTAL	18(min)	TOTAL	15(min)

II	Elective 5	3(min)
	Elective 6	3(min)	Disertation	16
	Elective 7	3(min)
	Elective 8	3(min)
	TOTAL	14(min)	TOTAL	16