BCA, Bachelor of computer application is a 3 year deg ree course which offers subject involving computer language, operating systems, software design, client server technologies etc.
About the Course
Technology is defined as the applications of Basic Science. The past two revolutions, industrial and electronic, have transformed the society from agricultural to industrial and then to electronic. The electronically based technologies focused in information gathering, processing and distribution. The use of this technology in all sectors gave the birth to Computer Industry and its unprecedented growth launched another revolution in Communication.
Information, the basic raw material for the Decision Support System, can be derived from processing of huge database related with different sectors. Systematic storage and management with adequate security are essential for data retrieval and processing to generate information. The information technology plays an important role in all areas. But the main drawback is the technophobia of the people to adapt with the new technologies. This may be due to lack of awareness of the merits and advantages of new technologies. So our youths have to be equipped with all kinds of knowledge tools to work with computers comfortably which are basic requirements to provide human resource to the industry.
The radical changes in technologies, both hardware as well as software, and their ever increasing adaptation to newer areas of application, demand frequent updating of the academic curriculum so that the students can rise to the expectation of the Industry. The syllabus revision committee has considered all these factors thoroughly before venturing into the revision exercise.
The revised syllabus for BCA Programme provides a strong foundation to pursue post graduation programme in computer science / applications. The knowledge acquired by the students may also equip them to meet the industrial need, and get placed.
The BCA programme of the MG University follows the choice based credit semester system as envisaged by the University Grants Commission and the Higher Education Council of Kerala. The Programme shall be completed in six semesters. Each semester is a minimum of 18 instructional weeks, comprising 90 working days with continuous internal evaluation and University examination at the end of each semester.
BCA (Hons) Courses
Data Science
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Data ScientistData scientists have become essential assets in almost all firms during the last decade. These professionals are well-rounded, data-driven individuals with advanced technical abilities who can design complicated quantitative algorithms to organize and synthesize enormous amounts of information utilized to answer questions and drive strategy in their business. This is combined with the communication and leadership skills required to provide tangible results to numerous stakeholders within an organization or business. Data scientists must be inquisitive and results-oriented, with remarkable industry knowledge and communication abilities that enable them to convey highly technical outcomes to non-technical colleagues. They have a solid quantitative foundation in statistics and linear algebra, as well as programming skills with a focus on data warehousing. mining, and modeling to build and analyze algorithms.
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Data Science Career Outlook and Salary OpportunitiesWe are building a team of professionals Data science specialists are compensated for their highly technical skill set with competitive wages and excellent work possibilities in a wide range of industries. With over 4,500 open roles recently published, data science experts with the necessary expertise and education have the opportunity to make their mark in some of the world's most forward-thinking firms. Developing particular talents in the field of data science can help data scientists stand out even more. Machine learning professionals, for example, use advanced programming skills to design algorithms that continuously collect data and automatically alter their functions to be more successful.
Cloud Computing
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Cloud ComputingSimply described, cloud computing is the transmission of computer services—such as servers, storage, databases, networking, software, analytics, and intelligence—via the Internet ("the cloud") in order to provide faster innovation, more flexible resources, and economies of scale. You typically pay just for the cloud services you use, lowering your operational expenses, allowing you to manage your infrastructure more efficiently, and allowing you to scale as your company needs evolve.
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How does cloud computing work?Companies can rent access to anything from applications to storage from a cloud service provider rather than owning their own computing equipment or data centres. One advantage of utilizing cloud computing services is that businesses can avoid the upfront cost and complexity of owning and maintaining their IT infrastructure by simply paying for what they need when using it. Consequently, cloud computing service providers can benefit from enormous economies of scale by providing the same services to diverse consumers. Cloud computing services today encompass a wide range of possibilities, from storage, networking, and processing power to natural language processing, artificial intelligence, and traditional office programs. Almost any service that does not require you to be physically proximate to your computer hardware can now be delivered over the cloud.
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Hottest Opportunities in Cloud ComputingWe are building a team of professionals Cloud Computing comprises top Big Data career opportunities as well as the most in-demand job role, Cloud Architect, and the skills required to become one. A Cloud Architect is in charge of configuring all of the components needed for a successful cloud computing environment, creating cloud networks by connecting remotely located servers, configuring both front-end and back-end platforms, and developing an operational cloud-based delivery system. But is that all there is to it? Download the Cloud Computing ebook job Guide to learn about the challenges, responsibilities, and cloud job path required to become a successful Cloud Architect. The rise of cloud computing has raised the demand for bright minds to help address pressing business problems more quickly and effectively. However, most people cannot afford to quit their full-time jobs to return to school, which is where AIMS comes in. With our in-depth program, you'll learn everything you need to know to build a name for yourself in these flourishing sectors.
Robotics
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Cloud ComputingThe Introduction to Robotics Specialization teaches you about robot flight and movement, how robots detect their surroundings, and how they alter their movements to avoid obstacles, negotiate tough terrains, and complete complicated jobs like construction and disaster response. Real-world examples will be provided of how robots have been used in catastrophe circumstances, how they have advanced human health care, and what their future potential will be. The courses will lead up to a capstone in which you will learn how to program a robot to do various movements such as flying and gripping objects.
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About this SpecializationAbout this Specialization Learn about the mechanisms, dynamics, and intelligent controls of robots. Planar and spatial kinematics and motion planning are covered, as well as mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, and 3D visual simulation. Control design, actuators, and sensors are also covered, as well as wireless networking, task modeling, human-machine interface, and embedded software. Robotic engineering provides access to the world of engineering in a variety of industries, including automotive, information technology, logistics, aviation, health, and research. It adjusts to different trades based on each person's talents and interests. Learn the Fundamentals of a Robotics Career. Learn how to program robots to perform in situations and to be used in crisis management. Explore the history, anatomy, and intelligence of robots while driving robots in engaging simulations.
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Robotics Career Outlook and Salary OpportunitiesWe are building a team of professionals Robotics is a discipline of engineering concerned with the creation of robots. Robots are programmed machines that can do tasks independently or semi-autonomously for the benefit of the enterprise. It entails the design, construction, and programming of psychical robots to troubleshoot problems in various areas of operations and manufacturing. This is extremely important in industries such as transportation, manufacturing, production, medicine, the military, and so on. It is a mechanical and electrical engineering multidisciplinary branch. Robotics Engineers can work in space research organizations such as ISRO, NASA, and others that use robotics and artificial intelligence. Robots are mostly used in the surgical and rehabilitation fields of medicine. They also focus on human therapy using therapeutic robotic technologies. Robotics engineers create, design, and test robotic devices and software for private enterprises to automate their operations. Robotics experts are in high demand in the gaming sector, where they create video games that captivate audiences with artificial intelligence intertwined with robotics. Robots are commonly employed in law enforcement and investigation agencies. They utilize artificial intelligence and robots to detect and defuse dangerous materials such as explosives. Robots are also utilized in the banking industry to manage operations, stocks, and so on.
Artificial Intelligence & Machine Learning
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Artificial intelligence (AI) is a broad field of computer science concerned with creating intelligent machines capable of doing activities that normally require human intelligence. AI is an interdisciplinary subject with many techniques, but advances in machine learning and deep learning are causing a paradigm shift in almost every sector of the technology industry. The ability of artificial intelligence to rationalize and execute actions that have the best likelihood of reaching a certain goal is its ideal feature.
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Applications of Artificial IntelligenceArtificial intelligence has a plethora of uses. The technology can be used in a variety of sectors and industries. In the healthcare industry, AI is being explored and used for dosing pharmaceuticals and different treatments in patients, as well as surgical operations in the operating room. Computers that play chess and self-driving automobiles are two further instances of devices with artificial intelligence. Each of these machines must consider the implications of whatever action they perform, as each action has an impact on the eventual result. In chess, the goal is to win the game. The computer system in self-driving cars must account for all external data and compute it in order to behave in a way that prevents a collision. Artificial intelligence is also utilized in the financial industry to detect and highlight activities in banking and finance, such as odd debit card usage and significant account deposits—all of which help a bank's fraud department. AI applications are also being utilized to assist expedite and simplify trading. This is accomplished by making it easier to estimate the supply, demand, and pricing of securities.
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The AI Career LandscapeWe are building a team of professionals Alexa's surprising laughter notwithstanding, AI is gaining popularity as a result of recent breakthroughs that have garnered headlines. However, AI has been a viable career option for some time now due to the increasing use of the technology across industries and the demand for skilled workers to fill the jobs produced by this expansion. AI is expected to produce over 2.3 million employment by 2020, according to experts. However, it is expected that this technology will eliminate approximately 1.7 million employment while creating roughly half a million new jobs globally. Furthermore, AI provides numerous unique and viable professional prospects. Although AI is employed in practically every business, from entertainment to transportation, there is a significant shortage of certified, skilled personnel. As wide categories of AI and machine learning, the jobs available are more accurate. Some of the positions mentioned Researchers in Machine Learning AI Data Mining and Analysis Engineer Business Intelligence (BI) Machine Learning Enginee
Cyber Security & Forensic Science
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Computers are ubiquitous in our daily lives; since sectors ranging from communications to banking rely on them, the demand for improved computer security has never been stronger. This course focuses on two areas of cyber security: risk analysis and mitigation, as well as how to extract and use digital information from a variety of systems and devices. The course is designed such that all students complete the same beginning material before deciding whether to specialize in Cyber Security or Digital Forensics.
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Cyber Security and ForensicsStudents completing the course will gain a grasp of the nature of computer security concerns as well as the types of information kept on digital devices (and how it can be taken from them). They will benefit from a wide range of cutting-edge technologies and resources.The course examines a number of tools accessible on the open market, as well as the use of forensic tools to retrieve data from electronic sources. It will also cover professional and ethical concerns in computer security and forensics, as well as the development of professional competences such as report writing and evidence presentation in court.
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Your future careerWe are building a team of professionals After finishing Cyber Security and Forensics, you will have the skills needed for professional IT roles geared at securing our digital future. Among the career opportunities are: Network and Security Specialist Ethical Hacker Analyst/Consultant in IT Security and Risk Cyber Security Analyst Cyber Forensic Investigator.
Course Highlights
Production Planning: Learn the essential elements of pre-production, including script analysis, location scouting, casting, and crew hiring.
Budgeting and Finance: Understand the principles of budget management, cost estimation, and financial planning for film projects of varying scales.
Scheduling: Master the art of creating production schedules, optimizing resources, and coordinating timelines to ensure smooth project execution.
Risk Management: Identify potential risks and challenges in film production and develop strategies to mitigate them effectively.
Project Management Tools: Explore industry-standard software and tools used for project planning, scheduling, and resource allocation.
Industry Insights: Gain valuable insights into the film industry through case studies, guest lectures, and discussions with industry professionals.
Registration
Candidates who are willing to register for any course are requested to register in MGU UG CAP website (https://cap.mgu.ac.in/ugpcap2024) by selecting the course along with specialization with necessary details and book your seat at the earliest well before June 7th 2024.
BCA ai-ml-ar-vr/
Duration of Course
1. Dr.Harinarayan – Associate Professor,
Adhishankara Institute of Engineering Technology.
2. Dr.Sajith. P J – Associate Professor,
Toc H Institute of Science and Technology.
3. Eldhose P Sim – Assistant Professor ,
Adhishankara Institute of Engineering Technology
4. Wilson joseph – Assistant Professor,
Rajagiri School of Engineering Technology.
Professional Add-Ons
BCA ai-ml-ar-vr/
Duration of Course
Registration
Candidates who are willing to register for any course are requested to register in MGU UG CAP website (https://cap.mgu.ac.in/ugpcap2024) by selecting the course along with specialization with necessary details and book your seat at the earliest well before June 7th 2024.