Department of Information Technology
Information Technology
The Department of Information Technology at KHIT focuses on building strong technical foundations while keeping learning aligned with developments in the field. Dedicated laboratories, skill-based training and industry-oriented initiatives give students opportunities to strengthen their knowledge through practical exposure. The department also conducts training programmes in association with the Andhra Pradesh State Skill Development Corporation and EdTech organisations.
Graduates can explore careers in Cybersecurity, Software Development, Data Science and Analytics, Cloud Computing, Networking, and Artificial Intelligence & Machine Learning. Students can also pursue NPTEL certification courses, supported by technical and professional training that strengthens career readiness
HOD's MESSAGE
A Message from the Head of Department
Our students excel in academics, research, innovation, sports, entrepreneurship, and national competitions, making a meaningful impact both on campus and beyond.
Dr. K Siva Rama Prasad
Professor & Head of Department
Department of Information Technology
“In Information Technology, we encourage students to develop a strong understanding of the subject while exploring its applications across different areas of computing. Through focused learning and practical exposure, we aim to build the technical capabilities students need to pursue opportunities in the field.”
Vision Statement
To emerge as a hub of excellence in Information Technology by producing technically proficient and ethically strong IT professionals to meet the evolving needs of industry and society.
Mission Statement
M1: To deliver quality instruction in Information Technology through competent faculty and state-of-the-art laboratories, preparing graduates for successful careers in IT – enabled services.
M2: To empower students with a socially relevant and industry-oriented curriculum supported by innovative teaching methods and an outcome-based evaluation process.
M3: To equip students with the skills and knowledge to excel in professional careers, pursue higher education, and launch successful entrepreneurial ventures.
M4: To instill in students strong ethical values, a sense of responsibility, and a commitment to using their IT skills for the betterment of society and the environment.
M5: To collaborate with top institutes and industries to derive research and innovation, making the department a center for research and development.
B.Tech - Information Technology
Program Outcomes
PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization to develop to the solution of complex engineering problems.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.
PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.
PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.
PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.
PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for
- independent and life-long learning
- adaptability to new and emerging technologies and
- critical thinking in the broadest context of technological change.
Curriculum
Click on a course name below for viewing the course description and course outcomes.
1st Semester
I Semester
| S.No. | Course Code | Course Title | Contact Hours / Week | Credits | Scheme of Valuation | ||||
|---|---|---|---|---|---|---|---|---|---|
| L | T | P | CIE | SEE | Total | ||||
| Theory Courses | |||||||||
| 1 | R231101 | Linear Algebra & Calculus | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 2 | R231103 | Communicative English | 2 | 0 | 0 | 2 | 30 | 70 | 100 |
| 3 | R231111 | Introduction to Programming | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 4 | R231113 | Chemistry | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 5 | R231115 | Engineering Graphics | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| Laboratory Courses | |||||||||
| 6 | R231107L | Communicative English Lab | 0 | 0 | 2 | 1 | 30 | 70 | 100 |
| 7 | R231110L | Health and Wellness, Yoga and Sports | 0 | 0 | 1 | 0.5 | — | 100 | 100 |
| 8 | R231112L | Computer Programming Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 9 | R231114L | Chemistry Lab | 0 | 0 | 2 | 1 | 30 | 70 | 100 |
| 10 | R231116L | IT Workshop | 0 | 0 | 2 | 1 | 30 | 70 | 100 |
| Total | 14 | 0 | 10 | 19 | 270 | 730 | 1000 | ||
2nd Semester
II Semester
| S.No. | Course Code | Course Title | Contact Hours / Week | Credits | Scheme of Valuation | ||||
|---|---|---|---|---|---|---|---|---|---|
| L | T | P | CIE | SEE | Total | ||||
| Theory Courses | |||||||||
| 1 | R231201 | Differential Equations & Vector Calculus | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 2 | R231219 | Data Structures | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 3 | R231222 | Engineering Physics | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 4 | R231223 | Basic Civil and Mechanical Engineering | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 5 | R231224 | Basic Electrical and Electronics Engineering | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| Laboratory Courses | |||||||||
| 6 | R231210L | NSS/NCC/Scouts & Guides/Community Service | 0 | 0 | 1 | 0.5 | — | 100 | 100 |
| 7 | R231221L | Data Structures Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 8 | R231225L | Engineering Physics Lab | 0 | 0 | 2 | 1 | 30 | 70 | 100 |
| 9 | R231226L | Electrical and Electronics Engineering Workshop | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 10 | R231227L | Engineering Workshop | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| Total | 15 | 0 | 12 | 21 | 270 | 730 | 1000 | ||
1st Semester
I Semester
| S.No. | Course Code | Course Title | Contact Hours / Week | Credits | Scheme of Valuation | ||||
|---|---|---|---|---|---|---|---|---|---|
| L | T | P | CIE | SEE | Total | ||||
| Theory Courses | |||||||||
| 1 | R232130 | Discrete Mathematics & Graph Theory | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 2 | R232131 | Universal Human Values – Understanding Harmony and Ethical Human Conduct | 2 | 1 | 0 | 3 | 30 | 70 | 100 |
| 3 | R232132 | Digital Logic & Computer Organization | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 4 | R232133 | Advanced Data Structures & Algorithms | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 5 | R232134 | Object Oriented Programming Through Java | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 6 | R232137 | Design Thinking and Innovation | 1 | 0 | 2 | 2 | 30 | 70 | 100 |
| Laboratory Courses | |||||||||
| 7 | R232135L | Advanced Data Structures Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 8 | R232136L | Object Oriented Programming Through Java Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 9 | R232108 |
Skill Enhancement Course: Python Programming | 0 | 1 | 2 | 2 | — | 100 | 100 |
| Total | 15 | 2 | 10 | 22 | 240 | 660 | 900 | ||
2nd Semester
II Semester
| S.No. | Course Code | Course Title | Contact Hours / Week | Credits | Scheme of Valuation | ||||
|---|---|---|---|---|---|---|---|---|---|
| L | T | P | CIE | SEE | Total | ||||
| Theory Courses | |||||||||
| 1 | R232239 | Optimization Techniques | 2 | 0 | 0 | 2 | 30 | 70 | 100 |
| 2 | R232231 | Probability & Statistics | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 3 | R232233 | Operating Systems | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 4 | R232234 | Database Management Systems | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 5 | R232235 | Software Engineering | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 6 | R232241 | Environmental Science | 2 | 0 | 0 | - | 30 | -- | 30 |
| Laboratory Courses | |||||||||
| 7 | R232240L | Operating Systems & Software Engineering Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 8 | R232237L | Database Management Systems Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 9 | R232238 |
Skill Enhancement Course: Python with DJango | 0 | 1 | 2 | 2 | -- | 100 | 100 |
| Total | 16 | 1 | 8 | 19 | 240 | 590 | 830 | ||
1st Semester
I Semester
| S.No. | Course Code | Course Title | Contact Hours / Week | Credits | Scheme of Valuation | ||||
|---|---|---|---|---|---|---|---|---|---|
| L | T | P | CIE | SEE | Total | ||||
| Theory Courses | |||||||||
| 1 | R233145 | Advanced Java | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 2 | R233137 | Computer Network | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 3 | R233146 | Automata Theory and Compiler Design | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 4 | R233147C |
Professional Elective- I: • Object Oriented Analysis and Design • Cyber Security • Artificial Intelligence • Microprocessors and Microcontrollers • Data Warehousing and Data Mining | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 5 | R2331XX |
Open Elective- I (Offered by other Departments) | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| Laboratory Courses | |||||||||
| 6 | R233148L | Advanced Java Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 7 | R233142L | Computer Networks Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 8 | R233143 |
Skill Enhancement Course: Java Full Stack-II | 0 | 1 | 2 | 2 | -- | 100 | 100 |
| 9 | R233144 | User Interface Design Using Flutter | 0 | 0 | 2 | 1 | 30 | 70 | 100 |
| 10 | R233110 | Evaluation of Community Service Project Internship | 0 | 0 | 0 | 2 | -- | 100 | 100 |
| Total | 15 | 1 | 10 | 23 | 240 | 760 | 1000 | ||
2nd Semester
II Semester
| S.No. | Course Code | Course Title | Contact Hours / Week | Credits | Scheme of Valuation | ||||
|---|---|---|---|---|---|---|---|---|---|
| L | T | P | CIE | SEE | Total | ||||
| Theory Courses | |||||||||
| 1 | R233241 | Cloud Computing | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 2 | R233242 | Cryptography and Network Security | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 3 | R233249 | Machine Learning | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 4 | R233250A |
Professional Elective-II: • Software Testing Methodologies • DevOps • Generative AI • Augmented Reality & Virtual Reality • Digital Image Processing | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 5 | R233251A |
Professional Elective-III: • Software Project Management • Mobile Adhoc Networks • Natural Language Processing • Distributed Operating Systems • Biometrics | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 6 | R233206A |
Open Elective- II Disaster Management | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| Laboratory Courses | |||||||||
| 7 | R233246L | Cloud Computing Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 8 | R233252L | Machine Learning Lab | 0 | 0 | 3 | 1.5 | 30 | 70 | 100 |
| 9 | R233251E |
Soft Skills: 21st Century Employability Skills
(offered through SWAYAM Plus) | 0 | 1 | 2 | 2 | -- | 100 | 100 |
| 10 | R233210 | Technical Paper Writing & IPR | 2 | 0 | 0 | 0 | 30 | 70 | 100 |
| Total | 20 | 1 | 8 | 23 | 270 | 730 | 1000 | ||
1st Semester
I Semester
| S.No. | Course Code | Course Title | Contact Hours / Week | Credits | Scheme of Valuation | ||||
|---|---|---|---|---|---|---|---|---|---|
| L | T | P | CIE | SEE | Total | ||||
| Theory Courses | |||||||||
| 1 | R234139 | Internet of Things | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 2 | R234133 | Human Resource & Project Management | 2 | 0 | 0 | 2 | 30 | 70 | 100 |
| 3 | R234140B | 1. Software Architecture & Design Pattern 2. Deep Learning 3. Computer Vision 4. Blockchain Technology 5. 12-week MOOC Swayam/NPTEL Course | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 4 | R234141B | 1. Agile Methodologies 2. Big Data Analytics 3. Mobile Computing 4. Cyber Physical Systems 5. 12-week MOOC Swayam/NPTEL Course recommended by the BoS | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 5 | R234105A |
Open Elective-III Building Materials for Engineers | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 6 | R234130C |
Open Elective-IV Embedded Systems | 3 | 0 | 0 | 3 | 30 | 70 | 100 |
| 7 | R23PC41XX | Prompt Engineering / SWAYAM Plus-Certificate Program in Prompt Engineering and ChatGPT | 0 | 1 | 2 | 2 | 100 | ||
| 8 | R234108 | Constitution of India | 2 | 0 | 0 | ||||
| 9 | R23PC41XX | Evaluation of Industry Internship / Mini Project | 2 | 100 | |||||
| Total | 19 | 1 | 02 | 21 | 180 | 420 | 800 | ||
2nd semester
II Semester
| S.No. | Course Code | Course Title | Contact Hours / Week | Credits | Scheme of Valuation | ||||
|---|---|---|---|---|---|---|---|---|---|
| L | T | P | CIE | SEE | Total | ||||
| 1 | Internship / Project Work | Full semester Internship / Project Work | 0 | 0 | 24 | 12 | 60 | 140 | 200 |
| Total | 0 | 0 | 24 | 12 | 60 | 140 | 200 | ||
Note:
- Student need to do at least ONE MOOC/NPTEL Course (of 3 credits out of 160 credits) to meet the mandatory requirement (11th criteria, as per R23 Regulations); they are allowed to register one semester in advance.
- Department Review committee should conduct project reviews for evaluation twice in a semester.
Program Education Objective(PEOs)
PEO1: Exhibit strong foundation in core Information Technology principles enabling them to pursue successful careers in the IT industry and contribute effectively to the advancement of technology and society.
PEO2: Apply analytical and computational techniques to design, implement, evaluate and maintain IT-based solutions that are technically proficient, economically feasible and socially acceptable.
PEO3: Communicate effectively, demonstrate professionalism, collaboration, ethical attitude, team spirit and pursue lifelong learning to achieve career, organizational and societal goals.
Program Specific Outcomes
PSO1: Apply core principles and concepts of Information Technology to analyze and design solutions for complex engineering and societal problems.
PSO2: Integrate knowledge of emerging technologies, programming languages, web programming, and modern tools to design and develop IT-based solutions.
PSO3: Develop skills through experiential learning to foster innovation and entrepreneurship.
Meet the Faculty of Information Technology
Faculty committed to strengthening students’ understanding of Information Technology through focused instruction, academic guidance and practical engagement.
Dr.K Siva Rama Prasad
Professor & HOD
Dr.K Siva Krishna
Associate Professor
Mrs.M.R.Hima Bindu Kanety
Assistant Professor
Mr.Bussa V V H Chandra Sekhar
Assistant Professor
Mr. Koppisetty R M C Sekha
Assistant Professor
Mr.Akhilesh Sakila
Assistant Professor
Mr.Sangam Sai Charan
Assistant Professor
Mr. Mallela Narasimha Rao
Assistant Professor
Mr.Jandrajupalli Mahesh
Assistant Professor
Mr. Pinnamaraju Veeresh Kumar
Assistant Professor
Mrs. Konjeti Vijaya Nirmala Devi
Assistant Professor
G. Ramya
Assistant Professor
G. Prem Kumar
Assistant Professor
LABORATORIES
Explore Our Information Technology Laboratories
The laboratories complement classroom learning with practical work, enabling students to develop technical proficiency and gain a stronger understanding of IT applications.
DBMS Lab & OS Lab
CNS Lab & CC Lab
Programming in C Lab & Data Structures Lab
OS Lab & SEC Lab
Pioneers of research and Innovations
TOP RECRUITERS
Trusted by Leading Industry Partners
Our students are recruited by renowned national and multinational companies across diverse industries.
Trusted by Leading Recruiters
Placement Rate
Average Package
Recruiting Companies
Highest Package
Board of Studies Members
Constitution of the Board of Studies for the Academic Year 2026–2027
Dr. K. Siva Rama Prasad
Professor & Head
Department of Information Technology, KHIT
Dr. K. Sahadevaiah
Professor
Department of CSE, UCEK, JNTUK
Dr. Rashmi Ranjan Rout
Professor, Department of CSE
National Institute of Technology, Warangal
Dr. Nagaraju Devarakonda
Professor, Department of CSE
VIT-AP University, Andhra Pradesh
Mr. Ravi Teja Putchakayala
Senior Consultant – SAP
Deloitte, Hyderabad
Dr. K. Siva Krishna
Associate Professor
Department of Information Technology, KHIT
Mr. K. R. M. C. Sekhar
Assistant Professor
Department of Information Technology, KHIT
Board of Studies Members
BOS (Board of Studies) — Academic Year 2026–2027
| S. No. | BoS Hierarchy | Name, Designation of the Member & Affiliation | Mobile | |
|---|---|---|---|---|
| 1 | Chairman |
Dr. K. Siva Rama Prasad Professor & Head, Department of I.T, KHIT. | — | — |
| 2 | University Nominee |
Dr. K. Sahadevaiah Professor, Department of C.S.E, UCEK, JNTUK | [email protected] | 9177780000 |
| 3 | Outside Expert (Academic) |
Dr. Rashmi Ranjan Rout Professor, Department of C.S.E, National Institute of Technology, Warangal. | [email protected] | 8332969418 |
| 4 | Outside Expert (Academic) |
Dr. Nagaraju Devarakonda Professor, Department of C.S.E, VIT-AP University, Andhra Pradesh | [email protected] | 9441176913 |
| 5 | Industry Expert (Industry) |
Mr. Ravi Teja Putchakayala Senior Consultant-SAP, Deloitte, Hyderabad. | [email protected] | 9966004474 |
| 6 | Alumni Member | Ms. Telaganeti Nandini | [email protected] | 7893605367 |
| 7 | Senior Faculty |
Dr. K. Siva Krishna Associate Professor, Department of I.T, KHIT | — | — |
| 8 | Coordinator |
Mr. K.R.M.C Sekhar Assistant Professor, Department of I.T, KHIT | — | — |
STUDENT SUCCESS
Celebrating Student Excellence in IT
A space to recognise the efforts and accomplishments of students who continue to make their mark through academics, projects and technical pursuits.
4.5 LPA
Sanjana Seeta
Computer Science Engineering | 2026
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
4.5 LPA
Sanjana Seeta
Computer Science Engineering | 2026
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024