About Department
The Commerce and Management Department offers dynamic environment aspiring to nurture the students with the knowledge, skills, and mind set needed to excel in the world of business. The department is committed to provide a transformative learning experience through well-designed curriculum offering collaboration of interactive classroom environment with field-based experiential. The department aims to attain excellence by building leadership skills and novel solutions among young aspiring corporate leaders through a responsible business leadership emphasis on modern teaching and research approaches that respond to real-world company needs and inspire new thinking.
Vision & Mission of the Department
Vision
To be an institution of excellence in commerce and management by providing high quality education to inspire and transform young lives in global community.
Mission
1. To pioneer in education by contributing to human knowledge which enables the students to have a strong sense of responsibility towards the society and the community.
2.Empower and guide students with appropriate training and techniques to shape them for a competitive tomorrow.
3.Engage and invest in entrepreneurial activities towards flexibility and innovation.
4. Enhance and learning opportunities diversity for students and faculty.
HOD's Desk
It is my pleasure to extend a warm welcome to all of you to the Department of Commerce and
Management at CT Institute of Higher Studies, Shahpur, Jalandhar. Established in 2013 with the
launch of B.Com and BBA programs, our department has since grown into a center of academic
excellence.
We are proud to offer a range of quality undergraduate programs, including B.Com, BBA, and
the recently introduced B.Voc in E-Commerce and Digital Marketing, designed to meet the
evolving demands of the corporate world. Our mission is to deliver academically rigorous and
professionally relevant education in key areas such as Accounting, Finance, Marketing, and
Human Resource Management.
Our department is committed to preparing students for the challenges of modern careers by
offering a wide array of value-added programs that enhance both knowledge and skill sets. We
emphasize holistic development through value-based education, fostering positive attitudes,
strong communication skills, and practical abilities through training sessions, cultural events, and
sports activities.
To encourage innovation and entrepreneurship, we provide platforms like Business Plan
Competitions where students can present their startup ideas and apply their learning in real-
world contexts. Our strong, experienced faculty is dedicated to mentoring a diverse community
of learners, helping them unlock their potential and achieve success through high-quality
teaching and a student-centric approach.
We also promote experiential learning by facilitating internships with reputed organizations,
giving students invaluable hands-on exposure to the corporate environment.
On behalf of the Department of Commerce and Management, I welcome all enthusiastic and
ambitious students. We look forward to being part of your academic and professional journey as
you grow into future leaders and change makers.
Best wishes for a bright and successful future.
Ms.Neelu
Faculty List
Courses Offered
| S. No. | Program | Eligibility |
|---|---|---|
| 1. | B.COM(Bachelor of Commerce) | Senior Secondary (10+2) examination with at least 50% marks in the aggregate in any stream of Punjab School Education Board. Or Any other examination with 50% marks in aggregate recognized as equivalent to above by the university. |
| 2. | BBA(Bachelor of Business Administration) | Senior Secondary (10+2) examination of PSEB with a minimum of 50% marks in aggregate. or Any other examination with 50% marks in aggregate recognized as equivalent to above by the university. |
| 3. | B. Voc(E-Commerce & Digital Marketing) | +2 pass in any stream |
Learning Process & Methodology
The pedagogy designed is a blend of practical and theoretical approaches delivered through interactive classroom sessions, discussions, quizzes, assignments, academic/field projects, research assignments, role plays, club activities, and industry participation through guest lectures, workshops, conclaves, seminars, conferences, industrial visits etc. Each student’s interests, abilities, skills, and learnings are meticulously mapped and mentored by the faculty-mentors. Academic excellence, creativity, innovation, and design thinking are all prioritized. Also, overall development is ensured through sports activities, performing arts, and sessions on personality development and human values. In this context, more emphasis is given to the following activities:
Case Studies
Team Activities
Experiential Learning
Continuous Evaluation
Guest Lecture
Group Discussions
Extempore
Management Games
Mock Interviews
Evaluation Process
Internal Assessment is based on: Regular assessments throughout the semester including seminars, practical exams and viva voce.Laboratories
Machine Learning Lab:
Machine Learning programs and algorithms emphasize on learning from examples. Machine learning teaches computers to learn from experience. Instead of using a preset equation as a model, machine learning algorithms "learn" information directly from data using computational techniques. As the amount of samples available for learning grows, the algorithms perform better and better in an adaptive manner. Two methods are used in machine learning: unsupervised learning, which looks for innate structures or hidden patterns in input data, and supervised learning, which trains a model using known input and output data to predict future outputs. The lab provides software, hardware and Internet resources to conduct these high end tasks for the knowledge and skills of the students.
Artificial Intelligence Lab:
Artificial Intelligence (AI) has become a central entity for programmes that carry out complicated operations that formerly required human input, such playing chess or corresponding with clients online. AI technology is increasing efficiency and performance in businesses by automating procedures or jobs that previously needed human labour. Additionally, AI is able to interpret data at a scale beyond human comprehension. That ability can yield significant business advantages. Repetitive learning and data-driven discovery are automated by AI. Artificial Intelligence handles repetitive, high-volume, digital activities rather than automating manual ones. And it does so without growing weary.
Cloud Computing Lab
The lab focuses on conducting practical assignments related to cloud computing and virtualization. Cloud computing is on-demand access, via the internet, to computing resources—applications, servers (physical servers and virtual servers), data storage, development tools, networking capabilities, and more—hosted at a remote data center managed by a cloud services provider (or CSP). The CSP makes these resources available for a monthly subscription fee or bills them according to usage. The term ‘cloud computing’ also refers to the technology that makes cloud work. This includes some form of virtualized IT infrastructure—servers, operating system software, networking, and other infrastructure that’s abstracted, using special software, so that it can be pooled and divided irrespective of physical hardware boundaries. For example, a single hardware server can be divided into multiple virtual servers.
IOT Lab
The term "Internet of Things" (IoT) describes a network of actual physical objects, including appliances, cars, and other items, that are integrated with software, sensors, and network connectivity to enable data collection and sharing. These gadgets, commonly referred to as "smart objects," can be anything from basic "smart home" appliances like smart thermostats to wearables like smartwatches and garments with RFID capabilities to sophisticated industrial and transportation systems. IoT-based "smart cities" as a whole are even being imagined by technologists.
Web Development Lab
Academics Activities
The department of AI ML conducted an innovative pedagogy activity “AI ML Basics” on 9th Nov, 2023. Students of B.Tech CSE and AI ML attended the event and learned about the basics of basics of algorithms used to simulate complex real world problems. The event incharge, Dr. Sandeep Ranjan demonstrated the use of open source technologies for creating toy applications for solving problems.
The department of AI ML conducted an innovative pedagogy activity “ AI for society”. Students presented their views on positive and negative aspects of AI & ML.
Industiral Visit
Industrial Visit To Hanni Industries
After a long time in the month March 2021 an offline Industrial Visit was organized for the students for the Department of Business Management. The students of MBA were taken to Amritsar at Hanni Industries. The industry dealt in various export quality products. They manufacture many Indian spices, Jaggery and its related products. They also deal in Kesar exports. The countries in which they export their products are Canada, New Zealand, England and many others. Their 95% business is based on exports. The owner of the industry said that he got inspired from his mother’s illness and started manufacturing pure products. He worked as one-man army at the earliest stages of business and then over the years has transformed it into a full-fledged industry. The students have learned a lot in this visit and have given positive feedback and appreciated our prestigious institute for arranging such visits.
Industiral Visit To Oceana Tech
With the aim to provide an exposure to students about practical working environments and give full awareness about the Industrial practices, an exposure visit was arranged by the Department of Business Management at “Oceana Tech" in the month of October 2020. The respected executives of the industry enlightened the students about the history of the industry as of when it was founded and all the ups and downs faced by the company owner to reach the level of success he is at now. Such visits enrich the students with practical knowledge of industrial procedures and widen their knowledge of managing industries.
Industiral Visit To Decathlon
An industrial trip to Decathlon (Ludhiana) was organized for the students of MBA on 3rd October 2019 by the Department of Business Management. The students explored and had access to the equipment and sports facilities as provided by the officials of the store. All in all it was a great visit. The students enjoyed and expect such kinds of industrial visits to be organized in future.
Events
AI ML department organized an online lecture on Lecture on Artificial Intelligence and Generative Adversarial Networks by Prof J. Amudhavel University of Tartu, Estonia on 18 April 2023. Dr. Amudhavel briefed the students about the domains of Artificial Intelligence, Machine Learning, Deep Learning and how they are impacting everyday activities. He discussed the applications of AI and ML in social networks in creating content, segregating content and automation of office work. He discussed a few websites showcasing AI open-source projects for students. Students were interested in watching 3D and graphics generated by algorithms which are quite popular on various social media platforms. He shared certification courses and projects which students can take up and make a career in AI/ ML.
Department of AI ML organized a guest lecture on Deep Learning on 7th March 2023. The resource person was Dr. Shefali Arora, Assistant Professor, NIT Jalandhar. Dr. Arora discussed the domains of Artificial Intelligence, Machine Learning, Deep Learning, Data Science and Explainable AI. She introduced to the students the term “explainable AI” which provides reasons for the actions advocated by the algorithms. This adds to the confidence in using the predictions generated by the algorithms in making decisions and policy making. Students asked questions about synthetic datasets and their authenticity in training the algorithms for their projects.
AI ML department organized a webinar on Research Development of AI based smart grid integration. The resource person of the event was Dr. M. Venkateshkumar, Assistant Professor Amrita Vishwa Vidyapeetham, Chennai who explained the role of AI in power grid integration and its benefits.
