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Duration

4 Years

Information Technology

University Institute of Technology, Barkatullah University
Duration
4 Years
Information Technology UG OFFLINE

Duration

4 Years

Information Technology

University Institute of Technology, Barkatullah University
Duration
Apply

Fees

₹1,50,000

Placement

92.0%

Avg Package

₹5,00,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Information Technology
UG
OFFLINE

Fees

₹1,50,000

Placement

92.0%

Avg Package

₹5,00,000

Highest Package

₹8,00,000

Seats

120

Students

300

ApplyCollege

Seats

120

Students

300

Curriculum

Course Structure and Curriculum Overview

The Information Technology program at University Institute of Technology, Barkatullah University is meticulously designed to provide students with a solid foundation in computing principles, followed by specialized knowledge in emerging technologies. The curriculum spans eight semesters, integrating core technical subjects, departmental electives, science electives, and practical lab components.

YearSemesterCourse CodeCourse TitleCredits (L-T-P-C)Prerequisites
I1IT101Engineering Mathematics I3-1-0-4-
1IT102Basic Electrical and Electronics Engineering3-1-0-4-
I1IT103Programming for Problem Solving3-1-0-4-
1IT104Computer Organization and Architecture3-1-0-4-
I1IT105Introduction to Data Structures3-1-0-4-
1IT106Digital Logic and Computer Design3-1-0-4-
I2IT107Engineering Mathematics II3-1-0-4IT101
2IT108Object Oriented Programming using C++3-1-0-4IT103
I2IT109Data Structures and Algorithms3-1-0-4IT105
2IT110Database Management Systems3-1-0-4IT105
I2IT111Computer Networks3-1-0-4IT104
2IT112Software Engineering3-1-0-4IT108
II3IT201Probability and Statistics3-1-0-4IT101
3IT202Operating Systems3-1-0-4IT110
II3IT203Web Technologies3-1-0-4IT108
3IT204Microprocessor and Embedded Systems3-1-0-4IT106
II3IT205Data Communication and Computer Networks3-1-0-4IT111
3IT206Object Oriented Design and Analysis3-1-0-4IT108
II4IT207Computer Graphics3-1-0-4IT108
4IT208Compiler Design3-1-0-4IT109
II4IT209Software Testing and Quality Assurance3-1-0-4IT112
4IT210Artificial Intelligence and Machine Learning3-1-0-4IT201
III5IT301Advanced Data Structures3-1-0-4IT109
5IT302Cyber Security3-1-0-4IT111
III5IT303Cloud Computing3-1-0-4IT203
5IT304Data Mining and Warehousing3-1-0-4IT201
III5IT305Mobile Application Development3-1-0-4IT203
5IT306Human Computer Interaction3-1-0-4IT112
III6IT307Internet of Things3-1-0-4IT204
6IT308Network Security3-1-0-4IT111
III6IT309Database Systems3-1-0-4IT110
6IT310Software Project Management3-1-0-4IT112
IV7IT401Research Methodology3-1-0-4IT201
7IT402Capstone Project3-1-0-4-
IV7IT403Internship3-1-0-4-
7IT404Elective I3-1-0-4-
IV8IT405Elective II3-1-0-4-
8IT406Elective III3-1-0-4-
IV8IT407Elective IV3-1-0-4-
8IT408Project Work3-1-0-4-

Detailed Course Descriptions

Advanced Data Structures: This course delves into advanced data structures such as graphs, trees, heaps, and hash tables. Students will explore algorithms for efficient manipulation of these structures, including sorting, searching, and graph traversal techniques. The course emphasizes both theoretical foundations and practical implementation in real-world applications.

Cyber Security: Cyber security is a critical domain that deals with protecting systems, networks, and data from unauthorized access or attacks. This course covers fundamental concepts of cryptography, network security, system security, and risk management. Students will gain hands-on experience in identifying vulnerabilities and implementing defensive strategies.

Cloud Computing: Cloud computing involves delivering computing services over the internet. This course introduces students to cloud architecture, virtualization technologies, service models (IaaS, PaaS, SaaS), deployment models, and security considerations. Practical labs focus on building scalable applications using platforms like AWS, Azure, and Google Cloud.

Data Mining and Warehousing: Data mining involves extracting useful patterns from large datasets. This course covers data warehousing concepts, ETL processes, clustering algorithms, classification techniques, association rule mining, and predictive modeling. Students will use tools like Weka, RapidMiner, and Python libraries for hands-on implementation.

Mobile Application Development: Mobile app development focuses on creating applications for iOS and Android platforms. The course covers mobile UI design, platform-specific frameworks (Swift for iOS, Kotlin/Java for Android), integration with backend services, and deployment strategies. Students will develop full-fledged apps that can be published on app stores.

Human Computer Interaction: Human-computer interaction (HCI) explores how people interact with technology and how interfaces can be designed to improve usability and accessibility. Topics include user-centered design principles, prototyping tools, usability testing methodologies, cognitive psychology in interface design, and ethical considerations in technology development.

Internet of Things: The Internet of Things (IoT) connects everyday objects to the internet, enabling them to send and receive data. This course covers IoT architecture, sensor networks, communication protocols (MQTT, CoAP), edge computing, security issues, and real-time data processing. Labs involve building IoT projects using Raspberry Pi, Arduino, and cloud platforms.

Network Security: Network security ensures the integrity, confidentiality, and availability of network resources. This course discusses firewall configurations, intrusion detection systems, secure network design, wireless security, and compliance standards. Students will simulate network attacks and implement security measures using tools like Wireshark and Snort.

Database Systems: Database systems are essential for storing and retrieving data efficiently. This course covers relational model concepts, SQL queries, normalization, transaction management, indexing techniques, and database design principles. Hands-on sessions include designing databases and implementing complex queries using Oracle, MySQL, or PostgreSQL.

Software Project Management: Effective project management is crucial for successful software development. This course introduces agile methodologies, Scrum frameworks, risk assessment, resource allocation, quality assurance, and project documentation. Students will manage simulated projects using tools like Jira, Trello, and MS Project.

Project-Based Learning Philosophy

The Information Technology program at University Institute of Technology, Barkatullah University strongly believes in experiential learning through project-based methodologies. The curriculum is structured to provide students with opportunities to apply theoretical knowledge to real-world challenges throughout their academic journey.

Mini-projects begin in the first year and are gradually scaled up in complexity as students progress. These projects encourage teamwork, problem-solving, and communication skills while reinforcing core concepts learned in lectures. Projects often involve developing simple applications or solving practical problems related to business or social issues.

The final-year capstone project serves as a culmination of all the learning experiences accumulated during the program. Students are encouraged to select projects that align with their interests or career goals, working closely with faculty mentors who provide guidance and support throughout the process. The project typically spans two semesters and includes documentation, presentation, and demonstration phases.

Faculty mentors play a pivotal role in guiding students through their projects. Each student is assigned a mentor based on project relevance and faculty expertise. Mentors help in refining project ideas, setting realistic timelines, troubleshooting technical challenges, and preparing students for industry exposure or further academic pursuits.