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ANNOUNCEMENT

Admission started for 2020

JKLU Testimonial

This programme is designed with an objective to create well-qualified engineers who can take up the challenges in the area of Computer Science Engineering (CSE). Graduates will be able to pursue a variety of careers, such as technology research, software design and development, system and network architecture, system integration, etc. or choose to become entrepreneurs.

After enabling the students to develop a strong foundation in basic sciences, mathematics, basic engineering, humanities, social sciences and management, the programme will lay down adequate emphasis on a large number of core courses in CSE. Most of the courses are well supported by good laboratory practice through well-equipped labs. Some of the core courses of these programmes include Object Oriented Programming, Microprocessors & Controllers, Algorithm Design, Operating Systems, Software Engineering, Theory of Computation, Computer Networks, Database Systems, Data Warehousing & Data Mining, Compiler Design, and Computer Organisation & Architecture, etc. Student will have to undergo a mandatory six-week Practice School-1 at the end of their second year and a semester Practice School-2 in final year to get a feel of the work culture in relevant industries.

Concentrations

Data science experts are computer professionals possessing skills for collecting, analyzing, processing a large set of structured and unstructured data. In this time of computers, most organizations are collecting a huge amount of data in their daily operations. In almost every interaction with technology, data is interchanged. A data scientist’s role is to analyze this data and interpret the results to implement them for the organizational benefits.

Data Scientists not only play a key role in business analysis, but they are also responsible for building data products and software platforms. Data science experts are needed in virtually every job sector including the five biggest tech companies, Google, Amazon, Apple, Microsoft, and Facebook.

Here are some of the leading data science careers:

  • Data Scientist
  • Machine Learning Engineer
  • Machine Learning Scientist
  • Applications Architect
  • Enterprise Architect
  • Data Architect
  • Data Engineer
  • Business Intelligence (BI) Developer
  • Statistician
  • Data Analyst

Artificial intelligence (AI) promises to deliver some of the most significant and disruptive innovations of this century. Self-driving cars, robotic assistants, and automated disease diagnosis are all products of an emerging AI revolution that will reshape how we live and work. And with demand for talented engineers more than doubling in the last few years, there are limitless opportunities for professionals who want to work on the cutting edge of AI research and development.

Career Opportunities in Artificial Intelligence:

  • Big Data Engineer
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Research Scientist
  • AI Data Analyst
  • Product Manager
  • AI Engineer
  • Robotics Scientist

Recently, the IT Industry has shifted towards business process automation. Robotic Process Automation (RPA) is one of the widely adopted techniques not only in the IT industries but also in the non-IT industries to automate their monotonous and laborious tasks to gain efficiency, accuracy, and cost management. RPA can be implemented with the help of various RPA tools such as Blue Prism, Automation Anywhere, UiPath, HelpsSystems, and Pega Robotics.

According to the reports submitted by the UiPath company, it is anticipated that in India alone more than 2,00,000+ jobs will be created in the RPA industry. Currently, according to the reports submitted by job portals sites of India, there are around 16,436 RPA job opportunities in Monster.com, a total of 23,330 job opportunities in Naukri.com and 530+ RPA job opportunities in Indeed.com. Out of which most of the organizations are seeking candidates a minimum of practical experience in using the RPA tool.

The RPA will be adopted widely among a range of industries such as Manufacturing and Retails, Banking and Financial Services, Educational Sector, Aviation, Oil and Gas, Insurance Sector, Logistics, BPOs, KPOs, Customer Services and HealthCare industries.

Embedded system developers write code that powers refrigerators, printers, ovens, or toasters that makes everyone’s life easier. The embedded coding runs before the operating system even loads. These developers work on the operating system in real-time and write the real hardware code to function correctly. They work closely with hardware engineers because they write device drivers. Embedded system developers can look forward to a bright future. Qualcomm, Intel, Tata Elxsi, HCL Technologies all of these companies hire embedded software engineers.

Simultaneously, IoT is making significant strides as more things are getting connected to the internet. Many experts predict that two-third of the new businesses will be dependent on IoT by the end of this year. Keeping this in mind, IoT offers the potential for a “fourth industrial revolution.” IoT ecosystem consists of intelligent devices that are web-enabled and use embedded systems such as sensors, processors, and communication hardware that collect the information and then share, analyse the data they collect and then act on it. The data obtained by the sensors of an IoT in the environment is shared by connecting to an IoT gateway that sends the data to the cloud for analysis. The data is analysed locally. These devices can often connect to similar devices and share the information and then act on the data they acquire from each other.

This program helps to make career in Big Data Analytics. Huge amount of raw, semi-structured and unstructured data is generating at uncontrollable pace. It features data as assets which can be used to analyze, correlate and predict. In almost every organizations, there is a requirement of Data Scientist and Data Analyst to perform data oriented task. Expertise in Big Data Analytics domain leads to handling of business intelligence, large scale data mining and data warehousing projects. Course covers dynamic paradigm in business analytics & optimization, data warehousing & multi-dimensional modelling, Business Intelligence, and Web & Graph Analytics.

Curriculum

  • Software Foundation and Programming1
  • Software Foundation and Programming2
  • Object Oriented Programming
  • Information Management Basics
  • Enterprise Reporting Using Business Intelligence
  • Foundation in Big Data using Hadoop
  • Big Data Programming

The technological growth, the Internet, and availability and sharing of information have tremendously increased information threats to organizations and individuals making it a challenge for users and system administrators to preserve security. Due to the requirement of sophisticated knowledge and tools to keep systems secure, there is a big need in India and around the world for information security professionals who are well educated about the various aspects of information security. The emergence of Information Security has resulted in the opening of various professional avenues for young professionals, creating a market ready for young IT graduates who can understand the risks involved in data security. With lucrative packages, data security has become the new professional direction for many students.

Information Security specialization will enable students to attain an in-depth knowledge of system and/or managerial aspects of information security, so that they can actively contribute to the prevention, detection and management of security threats, and/or the development of secured systems. It will also allow students with such ability to be easily identified by the IT industry. The main objective of this program is to train students to become information security professionals for the high-end jobs in security industry.

With the rapid technological advancements in mobile technology, integrated circuitry and increases in computer processor speeds, the future of mobile computing looks increasingly exciting. Mobile Computing is the ability to use portable computing devices in wireless enabled networks to stay connected and access data while on the move. As demand of technological environment in new era of computing technology, we offer b.tech in cs with specialization in mobile computing.

The course objective is to provide students with an understanding of mobile computing technologies and how these technologies are utilized and integrated to meet specific business needs. The stream of Mobile Computing is specialization and expertise oriented. The course also builds a solid foundation of software development skills and introduces the specific skills needed for developing mobile applications. Students will also gain a necessary understanding of current technologies and architectures that provide the network and communications infrastructure for mobile-enabled enterprise computer systems. Students will also develop skills in the design of modern network systems, using appropriate technologies, architectures and techniques.

The career in mobile and wireless workforce is very demanding now a days. Escalating use of wireless devices such as smart phones, notebooks, cell phones and laptops has generated motivation as well as competition to ensure these tools function effectively and securely

  • Mobile Solution Specialist
  • Mobile Application Developer
  • Mobile Architect / Mobile Software Platform Architect
  • Telecommunications Tower Installation and Maintenance Engineer
  • Mobile Security Expert
  • Mobile Phone Verification Manager

Circulum

  • Enterprise Application Development
  • Mobile/Hybrid Application Development
  • Enterprise Mobile Applications Development & Deployment

Cloud computing (or ‘on-demand computing’) is a key distributed systems paradigm which has been gained much attention during the last few years. Cloud computing is a type of Internet-based computing, where data, information and shared resources are made available to computers and other devices on-demand. Cloud technologies are ubiquitous, affecting our routine lives any moment we access the World Wide Web, use a mobile app, or go for online transactions. Cloud computing and storage solutions provide users and enterprises with numerous competencies to store and process their data in third-party data centers. Cloud computing is a model for facilitating pervasive, suitable, on-demand network access to a common pool of configurable computing resources such as webs, servers, storage, applications and services that can be quickly provisioned and freed with nominal management effort.

Cloud computing offers many job types, from administrator roles to development-focused opportunities. Cloud-based systems contain huge amounts of data, making security essential.

Jobs typically consist of making and implementing security strategies both internally and in partnership with cloud service providers in addition to monitoring systems for potential threats. Industry with its own regulatory protocols, such as healthcare or government need to integrate those security procedures into company’s cloud system. Cloud software engineers, specialize in developing software based on cloud service architectures and their underlying systems.

Some of the common jobs in this field are:

  • System Engineer
  • Security Administrator
  • Cloud Security Engineer

Curriculum

Semester

  • Computational Data Analysis
  • Design and Prototyping
  • Experimental Science-I
  • Fundamentals of Communication

Semester

  • Calculus and Applied Mechanics
  • Fundamentals of Automation Engineering
  • Object Oriented Programming (Java + Simple Database)
  • Energy and Environmental Studies
  • Critical Thinking and Storytelling
  • Science Week

Semester

  • Data Structures
  • Computational Engineering Analysis-I
  • Engineering Measurements and Machines
  • Theoretical Foundation of Computer Science
  • Perspectives on Contemporary Issues
  • Open Elective- Management/ Design/ Liberal Arts

Semester

  • Design and Analysis of Algorithms
  • Computational Engineering Analysis-II
  • Database Systems
  • Computer Architecture & Organization
  • Communication and Identity Open Elective- Management/ Design/ Liberal Arts
  • Practice School- I

Semester

  • Operating Systems
  • AI and Machine Learning
  • Open Elective-1
  • Understanding and Managing Conflict
  • IoT and Automation Week
  • Departmental Elective-1
  • Automation Project

Semester

  • Computer Networks and Distributed Systems
  • Compiler Design/Software Engineering
  • DE-3/ OE-2/IBM-SP-V/ Minor Project
  • Critical Thinking for Decisions at Workplace
  • Emerging Tech Week
  • DE-2/IBM-SP-VI

Semester

  • Departmental Elective
  • Departmental Elective
  • Departmental Elective
  • Open Elective
  • Minor Project

Semester

  • Practice School - II /Entrepreneurial Project/Research Project/Semester at a partner University
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