B.Sc. ( Computer Science )

Instructor: guj_innovative
Lectures: 12
Duration: 148 weeks

Categories: B.Sc

Tags: B.sc, Science

Course Overview :

B.Sc in Computer Science is a three-year undergraduate degree course that deals with the principles and applications of the computer. The main agenda of the degree course is the technical implementation of computers and computer systems. Students in the three-year degree course undertake various term papers, practical sessions and learning theoretical foundations of the computer.

The main aim of this program is to create quality professionals and research fellows who can work in every sector of the world by implementing the technology of computer systems and software.

Eligibility criteria :

The minimum eligibility criteria for this course are:

Students must have cleared higher secondary classes (Class 12) from a recognized board with 50%-60%of the score.
The stream should be science with Physics, Chemistry, and Mathematics. Having computer Science is also favorable in some universities.

Job Opportunities:

The large spectrum of job opportunities available to aspirants of B.Sc Computer Science are enlisted below:

Software Developer to Project Manager to Software Architect
Testing Engineer to QA Specialist
Web Developer / Mobile App Developer
Technical Support Engineer to Technical Director
IT Technical Content Developer

B.Sc Computer Science Syllabus

I Year
Group	Subject
Foundation	Hindi
	English
	Entrepreneurship
Computer Science	Fundamentals of Computers
	Programming in C
	Practical
Mathematics	Algebra and Trigonometry
	Calculus and Differential Equations
	Vector Analysis and Geometry
Physics	Mathematical Physics, Mechanics and Properties of Matter
	Thermodynamics and Statistical Physics
	Practical

II Year
Group	Subject
Foundation	Hindi
	English
	Environment
Computer Science	Object Oriented Programming Concept Using C++
	Data Structures
	Practical
Mathematics	Abstract Algebra
	Advanced Calculus
	Differential Equations
Physics	Optics
	Electrostatics, Magneto statics and Electrodynamics
	Practical

III Year
Group	Subject
Foundation	Hindi
	English
	Fundamentals of Computers
Computer Science	Database Management System
	Operating System Concepts
	Practical
Mathematics	Linear Algebra and Numerical Analysis
	Real and Complex Analysis
	Optional Paper* 1.Statistical Methods 2.Discrete Mathematics 3.Mechanics 4.Mathematical Modeling 5.Financial Mathematics
Physics	Quantum Mechanics and Spectroscopy-I
	Quantum Mechanics and Spectroscopy-II
	Practical

First Year 0/4

In this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.
- Lecture 1.1
  
  Foundation Hindi English Entrepreneurship
- Lecture 1.2
  
  Computer Science Fundamentals of Computers Programming in C Practical
- Lecture 1.3
  
  Mathematics Algebra and Trigonometry Calculus and Differential Equations Vector Analysis and Geometry
- Lecture 1.4
  
  Physics Mathematical Physics, Mechanics and Properties of Matter Thermodynamics and Statistical Physics Practical
Second Year 0/4

In this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.
- Lecture 2.1
  
  Foundation Hindi English Environment
- Lecture 2.2
  
  Computer Science Object Oriented Programming Concept Using C++ Data Structures Practical
- Lecture 2.3
  
  Mathematics Abstract Algebra Advanced Calculus Differential Equations
- Lecture 2.4
  
  Physics Optics Electrostatics, Magneto statics and Electrodynamics Practical
Third Year 0/4

In this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.
- Lecture 3.1
  
  Foundation Hindi English Fundamentals of Computers
- Lecture 3.2
  
  Computer Science Database Management System Operating System Concepts Practical
- Lecture 3.3
  
  Mathematics Linear Algebra and Numerical Analysis Real and Complex Analysis Optional Paper* 1.Statistical Methods 2.Discrete Mathematics 3.Mechanics 4.Mathematical Modeling 5.Financial Mathematics
- Lecture 3.4
  
  Physics Quantum Mechanics and Spectroscopy-I Quantum Mechanics and Spectroscopy-II Practical

There is no review for this course