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Pune, Maharashtra, India

Duration

4 Years

Computer Applications

Indrashil University Mehsana
Duration
4 Years
Computer Applications UG OFFLINE

Duration

4 Years

Computer Applications

Indrashil University Mehsana
Duration
Apply

Fees

₹12,00,000

Placement

92.0%

Avg Package

₹5,00,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Computer Applications
UG
OFFLINE

Fees

₹12,00,000

Placement

92.0%

Avg Package

₹5,00,000

Highest Package

₹8,00,000

Seats

300

Students

300

ApplyCollege

Seats

300

Students

300

Curriculum

Comprehensive Course Structure

SemesterCourse CodeCourse TitleCredit (L-T-P-C)Pre-requisites
ICS101Introduction to Programming3-0-0-3-
ICS102Mathematics for Computer Science4-0-0-4-
ICS103Physics for Engineers3-0-0-3-
ICS104English Communication Skills2-0-0-2-
ICS105Introduction to Computing2-0-0-2-
ICS106Lab: Introduction to Programming0-0-3-1-
IICS201Data Structures and Algorithms4-0-0-4CS101
IICS202Discrete Mathematics3-0-0-3-
IICS203Database Management Systems3-0-0-3CS101
IICS204Computer Organization and Architecture3-0-0-3-
IICS205Object-Oriented Programming2-0-0-2CS101
IICS206Lab: Data Structures and Algorithms0-0-3-1CS101
IIICS301Operating Systems4-0-0-4CS201, CS204
IIICS302Software Engineering3-0-0-3CS201
IIICS303Theory of Computation3-0-0-3CS202
IIICS304Computer Networks3-0-0-3CS201
IIICS305Web Technologies2-0-0-2CS201
IIICS306Lab: Operating Systems0-0-3-1CS201, CS204
IVCS401Machine Learning3-0-0-3CS201, CS202
IVCS402Cybersecurity Fundamentals3-0-0-3CS201
IVCS403Data Science and Analytics3-0-0-3CS201, CS202
IVCS404Human-Computer Interaction2-0-0-2CS201
IVCS405Mobile Application Development2-0-0-2CS201
IVCS406Lab: Machine Learning0-0-3-1CS201, CS202
VCS501Advanced Algorithms3-0-0-3CS201
VCS502Distributed Systems3-0-0-3CS301, CS304
VCS503Database Systems3-0-0-3CS203
VCS504Cloud Computing3-0-0-3CS301, CS304
VCS505Internet of Things (IoT)2-0-0-2CS201
VCS506Lab: Cloud Computing0-0-3-1CS301, CS304
VICS601Research Methodology2-0-0-2-
VICS602Capstone Project I4-0-0-4-
VICS603Special Topics in Computer Science2-0-0-2-
VICS604Professional Ethics and Communication2-0-0-2-
VICS605Internship Preparation1-0-0-1-
VICS606Lab: Capstone Project I0-0-3-1-
VIICS701Capstone Project II4-0-0-4CS602
VIICS702Advanced Topics in AI3-0-0-3CS401
VIICS703Security Architecture and Policy3-0-0-3CS402
VIICS704Data Mining Techniques3-0-0-3CS403
VIICS705Human-Centered Design2-0-0-2CS404
VIICS706Lab: Capstone Project II0-0-3-1CS602
VIIICS801Industry Internship4-0-0-4-
VIIICS802Final Project Presentation2-0-0-2-
VIIICS803Entrepreneurship and Innovation2-0-0-2-
VIIICS804Graduation Thesis6-0-0-6-
VIIICS805Professional Development Workshop1-0-0-1-
VIIICS806Lab: Graduation Thesis0-0-3-1-

The advanced departmental elective courses offered in the Computer Applications program are designed to deepen student expertise and prepare them for specialized roles in industry or research. Courses like 'Advanced Algorithms' delve into complex algorithmic design patterns, while 'Distributed Systems' explores scalable system architectures used by leading tech companies.

'Security Architecture and Policy' provides students with insights into cybersecurity governance frameworks and compliance standards essential for working in regulated industries. In 'Data Mining Techniques', students learn to extract meaningful patterns from large datasets using tools like Python's scikit-learn and Apache Spark.

The course 'Human-Centered Design' focuses on user research methods, prototyping techniques, and iterative design processes that are crucial for product development teams at companies like Apple, Google, and Microsoft. 'Cloud Computing' introduces students to cloud platforms such as AWS, Azure, and GCP, enabling them to build scalable applications.

'Advanced Topics in AI' covers reinforcement learning, computer vision, and natural language processing using TensorFlow and PyTorch frameworks. These advanced courses are taught by faculty members who are actively involved in research projects funded by government agencies and private investors.

Project-based learning is central to our philosophy at Indrashil University Mehsana. Students begin working on mini-projects in their second year, choosing topics related to emerging technologies or societal challenges. These projects are evaluated based on innovation, feasibility, and impact potential.

The final-year thesis/capstone project allows students to apply everything they have learned in a real-world scenario. Projects can be individual or team-based and often involve collaboration with industry partners or research institutions. Students select their projects through a formal proposal process where they present their ideas to faculty mentors who guide them throughout the development cycle.