To be a computationally potential department of our institute (ICEEM) in developing students for their excellence in computer engineering education.
To establish an Infotech environment of Data Science and Develop Computational Skills to compete with the World Standard fulfilling the Market Demand.
We, at ICEEM, are committed to:
Engineering Graduates will be able to:
PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PEO 1: To prepare graduates with a solid foundation in Computer Science and Engineering & Technology for a successful career in Computer Science & Engineering.
PEO 2: To equip graduates with integrity and ethical values so that they become responsible multidisciplinary engineers by exhibiting leadership and team-building skills.
PEO 3: To prepare graduates to excel in competitive examinations / postgraduate programs in advanced education.
PEO 4: To prepare graduates to succeed in industry / technical profession by applying current and innovative Computer engineering technologies by lifelong learning.
PSO 1: To apply cognitive & non-cognitive pedagogy and adaptive methodological algorithms to model the real-world problems by designing and developing Artificially Intelligent systems for solving inter disciplinary problems.
PSO 2: To design different tools and techniques for effective decision making and data analytics using standards and principles evaluating security measures for complex networks to solve networking issues.
Dr.S.A Hirve
HOD CSE Department
Computer Science or computing science is the scientific and practical approach to computation and its applications. A Computer Scientist specializes in the theory of computation and the design of computational systems.
Its subfields can be divided into a variety of theoretical and practical disciplines. Some fields, such as computational complexity theory (which explores the fundamental properties of computational.) are highly abstract, while fields such as computer graphics emphasize real-world visual applications. Still, other fields focus on the challenges in implementing computation.
The department also provides LCD and projector facility for effective teaching. The department also has a "Departmental Library" for the departmental Students having references as well as textbooks.
The goals of the computer science and engineering department are to prepare students for graduate training in some specialized area of computer science, to prepare students for jobs in industry, business or government, and to provide support courses for students in engineering, mathematics and other fields. Computing skills. An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution.
Certificate courses in computer science offer specialized knowledge and skills in various areas of the field, such as programming languages, data analysis, cybersecurity, and artificial intelligence. These short-term programs provide practical training, enhancing career prospects and equipping individuals with in-demand expertise. Whether one aims to enter the tech industry or advance within it, CS certificate courses offer a flexible and focused way to gain relevant skills and stay competitive in the rapidly evolving world of technology. Certificate courses in computer science cater to both beginners and professionals seeking to enhance their technical competencies. With options ranging from web development and software engineering to cloud computing and machine learning, these programs provide hands on experience and industry-relevant insights. Recognized by employers, CS certificates validate expertise and can lead to better job opportunities and higher earning potential. Stay ahead in the dynamic tech landscape by enrolling in these concise yet impactful courses.
The objectives of a certification course in computer science include:
The scope of a certification course in computer science is wide-ranging and offers numerous opportunities for personal and professional growth:
Value-added computer science courses, such as AI, data science, cybersecurity, and web development, enhance employability by providing specialized skills. These courses, aligned with career goals, offer a competitive edge. Recognized certifications validate gained proficiencies. Research course content, prerequisites, and job prospects before enrolling to ensure relevance in the dynamic industry. Continual learning ensures staying up-to-date and adaptable in the rapidly evolving tech landscape.
1. Expertise Enrichment: Deepen understanding of computer science concepts.
2. Industry Alignment: Align with evolving tech trends and demands.
3. Skill Development: Acquire practical programming and problem-solving skills.
4. Certification Validation: Showcase proficiency in various CS domains.
5. Career Advancement: Enable growth in software development, AI, and more.
1. Comprehensive Subjects: Encompasses diverse computer science areas.
2. Cutting-edge Technologies: Covers AI, blockchain, data science, and more.
3. Versatile Roles: Prepares for careers in software engineering, data analysis, cybersecurity, and more.
4. Industry Demand: Addresses the increasing need for tech-savvy professionals.
5. Real-world Application: Equips for practical challenges in tech innovation and problem-solving.
Hod CSE. ICEEM