Department of Information Science and Engineering – A World-Class Learning 05/28/2022 DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING Dayananda Sagar College of Engineering Kumaraswamy Layout, Bengaluru-111. INFORMATION SCIENCE AND ENGINEERING – A DEGREE WITH FULFILLING CAREER… A World-Class Learning An Innovative Teaching – International Models of Excellence Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 1
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 Contents Foreword ………………………………………………….………………………………………………………………………….. 3 1. Introduction …………………………………………………………………………………………………………………… 4 1.1. Overview of Building World-Class Department ……..……………………………………………… 4 1.2. Executive Summary of Excellence of ISE Department ……………………………………………. 5 1.3. Aim for our Graduates …………………………………………………………………………………………… 5 1.4. Aim of ISE Department …………………………………………..……………………………………………… 5 1.5. Foundations ………………………………………………………………………………………………………….. 6 2. A World-Class Education: Learning from International Models of Excellence ……………….. 6 2.1. Student-centred ……………………………………………………...……………………………………………… 6 2.2. Curricula and Assessment ……………………………………….……………………………………………… 6 2.2.1. Overview …………………………………………………………………………………………………………. 8 2.2.2. Aim of Curricula and Assessment …………………………………………………………………… 8 2.2.3. Consistent Approach ………………………………………………………………………………………. 9 2.2.4. Manifestation ………….………………………………………………………………………………………. 9 2.3. Assessment and Feedback ………………………………………………………………………………………. 10 2.3.1. Enabling Approach …………………………………….…………………………………………………… 10 2.3.2. Manifestation ……………………….…………………………………………………………………………. 10 2.4. Active Learning Pedagogy ………………………………………………………………………………………. 11 2.4.1. Overview ………………………………………………………………………………………..……………….. 11 2.4.2. Common Active Learning Strategies ………………………………………………………………. 12 2.4.3. More Teaching Innovations ……………………………………………………………………………. 14 3. Research-based ………………………………………………………………………..……………………………………. 16 4. Investing in Change ………………………………………………………………………………………………………. 16 4.1. Funding for staff recruitment …………………………………………………………………………………. 17 4.2. Funding for faculty-wide pedagogic transformation ……………………………………………… 17 4.3. Funding for innovative projects ……………………………………………………………………………… 17 5. Conclusion …………………………………………………………………………………………………………………….. 18 5.1. Elements of an outstanding education in the department …………………………………….. 18 5.2. Curriculum design ………………………………………………………………………………………………….. 18 5.3. Teaching-Learning methods …………………………………………………………………………………… 18 5.4. Features of an excellent teacher …………………………………………………………………………….. 18 Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 2
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 Foreword The education sector, particularly higher education, has been forced to make paradigm shifts on account of change in its intended purposes. From one viewpoint, the students graduating from the portals of higher education institutions have to emerge as job-ready professionals to meet the requirements of employing organizations by acquiring both the requisite knowledge and skills. The traditional approach adopted by Higher Education Institutions (HEIs) was to transfer as much knowledge to students so as to prepare them for careers and life. But the employers feel that it is the know-how in the form of specific skills that holds productivity promise. To meet the challenges of employers in a changing world, HEIs need to reinvent and redesign their learning systems. I am extremely happy to note that the Department of Information Science and Engineering (ISE) of Dayananda Sagar College of Engineering (DSCE) has channelized its efforts to enhance quality of teaching-learning components in the department by bringing out a handbook titled “A World-Class Learning: An Innovative Teaching – International Models of Excellence”. An attempt has been made to develop models to impart competencies relating to theory, articulation, problem-solving and hands-on working. Over a period of the next 3 to 5 years, these learning systems (Abstract Thinking, Concrete Thinking, Creative thinking, and Systems thinking) attain a state of maturity and become accepted techniques in the teaching-learning processes in the department. Small steps like this will begin to yield phenomenal results in training next-generation engineers, scientists as well as technologists and may become a standard practice for adoption in the other departments of DSCE as well as other colleges in the city and state. I take this opportunity to compliment Dr. Udaya Kumar Reddy (Vice Principal and Chairperson of the ISE department) for bringing out this handbook and wish all the success in its intended endeavour. With best wishes… Dr. K.N.B Murthy, Vice Chancellor, Dayananda Sagar University, Bengaluru. Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 3
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 1. Introduction 1.1 Overview of Building World-Class Department Background: Any institution or department is judged by the level and the extent of the research work it accomplishes. Therefore, experience of research leads to quality teaching, and quality teaching imparted to the young students in turn enriches the research (Fig. 1): Experience in Quality Enriches Research Teaching Research Figure 1: Research-Teaching-Research (Source: Dr. APJ Abdul Kalam) Characteristics: The superior characteristics and essential features of a world class department can essentially be classified into three complementary notions as in Fig. 2: 1. High concentration of talent — top students and outstanding faculty, 2. Abundance of resources offering a rich learning and support advanced research, and, 3. Favourable governance encouraging strategic vision, innovation, and flexibility. Concentration of talent Students, Teaching Staff, Supporting Staff, Researchers, Internationalization Graduates Research Output WCD Supportive Regulatory Abundant Department Technology Leadership, Favourable resource Transfer Strategic Vision, governance Budget Resource, s Tuition Fees, Culture of Excellence Research Grants Autonomy Academic Freedom Figure 2: Characteristics of a World-Class Department / Institution (WCD / WCI) Source: Salmi, 2013. Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 4
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 1.2 Executive Summary of Excellence of ISE Department To become global leaders in the field of Information Science and Engineering (ISE) and valuable citizens, our students will have a transformative education, learn to be independent critical thinkers, be societally and ethically responsible, and to have a broad understanding of the world. The Department of ISE at Dayananda Sagar College of Engineering aims to be an outstanding department to create leaders of today and tomorrow with talented and driven staff and students. The key to drive an excellence is, we both staff and students believe in each other and form a community that: • Innovates, • Produces high quality education and research, • Wants to improve every day, and • Makes a significant contribution to the wellbeing of global humanity. 1.3 Aim for Our Graduates The Graduates of ISE will: • Demonstrate deep conceptual understanding in ISE discipline • Perform challenges with critical thinking, curiosity and creativity • Apply their skills innovatively to solve complex real-world problems • Work effectively across disciplinary boundaries • Have developed into independent learners with high self-efficacy • Display a strong sense of personal and professional identity 1.4 Aim of ISE Department The Department of ISE will: • Set a world class academic achievements with high standards for student aspiration. We will take some calculated risks of innovation in teaching and learning • Teach students 21st century skills and combine active-learning based pedagogy, evidence-based pedagogy with a strong focus on community building, working with students as partners, focusing on global challenges • Recognise globally as a leading department in higher education practices • Set to implement change with agility of our ambition and we are aware of what needs to be done, and what we want to prove a zeal for innovation Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 5
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 1.5 Foundations Some stable foundations existence in the department for building change: • We have some of the best practices in the department proven through implementation • The faculty are talented and committed to their own professional teaching development • The network of teaching and support staff is experienced in supporting students in their professional and personal development • We have the knowledge and innovative spirit to take our teaching to the next level in quality, by developing existing evidence of best practice 2. A World-Class Education: Learning from International Models of Excellence 2.1 Student-centred Acquiring higher order skills, such as creative problem solving, critical thinking, teamwork, and communication, are becoming more fundamentally valuable than just acquiring knowledge from a single discipline in this 21st century. Therefore, the department of ISE is committed to offering all of our students a rigorous, world-leading, inclusive educational experience embedded in a research environment as detailed below: 1. Process of evolution and enhancement of our education: Our faculty will work together in partnership with our students where we believe each other to create a learning environment that is stimulating and caring as well as students are engaged in research that benefit equally from new ways of learning and teaching ✓ Evidence: We will evidence through the following courses: ➢ Core courses: Data Structures, Software Engineering, Python Programming, Algorithms, Automata Theory, Compilers, and more ➢ Emerging courses: Machine Learning, Cyber Security, Data Science, Big Data Analytics, Deep Learning, Cloud Computing, Blockchain Technology, and more Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 6
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 2. Independent thinkers: We will provide space to students giving responsibility for their own learning. Setting their own goals, manage their own learning process and have the freedom to find their own direction in their education becomes the priority which leads to independent thinkers by developing the strategies and the confidence to learn by discovery, rather than simply memorising factual information. ✓ Evidence: We will evidence through the following courses that can make students to think independently: ➢ Applications of Data Structures, Algorithms, Healthcare and Security, Machine Learning, Data Science, Big Data Analytics, Deep Learning, Internet of Things, Cloud Computing, etc ➢ Applied mini-projects, Main projects, Design thinking, Lab experiments, and Research articles 3. Lifelong learning skills: Our students will develop lifelong learning skills that will enable them to tackle 21st century problems and to compete in the global job market. Lifelong learning is essential for ensuring that students have sufficient depth in a skill area. Students need both breadth (wide range of technologies and skills) and depth (deeper domain-specific knowledge and stronger skills in a given topic) in their educations (Yates et al., 2018). ✓ Evidence: We will evidence these skills that may have a shelf life through the following courses: ➢ Stronger skills on a given topic: Data Structures, Operating systems, Programming languages, Algorithms, Database, Web technologies, Internet of Things, Cloud computing, etc. ➢ Wide range of technologies and skills: We will focus on emerging courses 4. Knowledge beyond their own discipline: In reshaping our curricula, we will implement a structure that enables our students to have greater choice and flexibility within the ISE discipline and gives them the opportunity to access courses from other disciplines. ✓ Evidence: We will evidence through the following cluster of courses: ➢ Greater choice and flexibility of cluster courses: Courses under Artificial Intelligence and Machine Learning, Data Science, Healthcare and Security, Advance Technologies. Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 7
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 2.2 Curricula and Assessment 2.2.1 Overview • Introduction: We are changing, the curricula and assessment, the order of teaching, what is learned, the order of assessment, how knowledge and skills develop towards mastery, thinking like an expert, and the desired graduate attributes. • Background: We are prioritising the review and redesign of Information Science Engineering curricula using a consistent approach. The programme is unique and we understand that our curricula is developed in response to disciplinary changes, changing faculty expertise and interests, and pragmatic management of resources. • Consultation: In redesigning the curricula, we will consult with employers, our alumni, industry experts, R&D experts, academic experts working across globe on which elements of DSI education are valued most in professional life. This will give us the pulse of the marketplace and enable us to align our priorities with the fast- changing needs of society. • Coverage and Reference: Based on the guidelines by ACM and IEEE-Computer Society task force, the information-science curricula will cover all the Core Tier-1 topics (topics will typically be covered in introductory courses), all or almost all (80%) of the Core Tier-2 topics (requires majority of topics is a minimum expectation in the core courses), and significant depth in many of the Elective topics (for breadth and depth in information science). • Learning Outcomes: Students are expected to achieve graduate attributes and each learning outcome has an associated level of mastery. We use three levels of mastery: ➢ Familiarity: The student understands basic awareness of what a concept is or what it means. It answers to the question “What do you know about this?” ➢ Usage: The student is able to use or apply a concept in a concrete way. It answers to the question “What do you know how to do?” ➢ Assessment: The student is able to consider a concept from multiple viewpoints and/or justify the selection of a particular approach to solve a problem. It answers to the question “Why would you do that?” 2.2.2 Aim of Curricula and Assessment To achieve a more active learning, more authentic and create educationally productive space•s for students by integrating their knowledge into an applied mastery space. • Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 8
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 2.2.3 Consistent Approach Establishing consistent approach: We will change by: • Mapping the entire curriculum, capturing its current content as well as how it develops and assesses skills development • Developing a balanced set of learning outcomes at programme and module level, focusing on: the abilities and identity of the department, fundamental skills development and graduate attributes • Reshaping and amending the curriculum to create time for more integrative and more interactive learning • Including a research project to provide undergraduate and postgraduate students with active engagement in discovery • Allowing space and time for effective implementation of redesign and using evaluation of curriculum changes to inform continued improvement 2.2.4 Manifestation Evidence: We will evidence: • Learning outcomes that: ➢ benefit from the latest guidance of relevant experts from industry, professional bodies and resonate with employers ➢ capture the fundamental knowledge and skills ➢ reflect disciplinary identity, professional expectations, graduate attributes • Modular structures that: ➢ allow increased multidisciplinary study and connectivity between related disciplines ➢ add flexibility and choice for students ➢ provide disciplinary breadth for students and faculty • Emphasis on foundational concepts and discipline mastery • Achieve deep understanding, integrate it into practically applicable skills • Research-based skills development • Integration of progressive approach to learning, teaching and research Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 9
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 2.3 Assessment and Feedback Introduction: The exam-oriented culture must change and the associated competitiveness towards assessment practices must amplify. Hence, the nature of assessment and feedback to students is important to maintain consistent in their evaluation of the educational experience. 2.3.1 Enabling Approach Establish an enabling approach: We will change by: • Deploying tools that allow frequent self-diagnosis by each student on every module to identify their relative attainment of knowledge and skill (e.g. instant feedback online quizzes before a learning event happens) • Communicating clearly the ways in which every assessment aligns with module learning outcomes and how these relate to programme outcomes; and aligning feedback strategy for support • Drawing on best practices locally and globally to increase the authenticity and inclusivity of assessment • Investigating new assessment practices, in the longer term, to promote and test integrated learning. 2.3.2 Manifestation Evidence: We will evidence: • All assessments have clear alignment to module learning outcomes, contextualised within course learning outcomes • Increased emphasis on authentic, inclusive assessment that shows what students are able to do in practice, as a consequence of their learning • Significant reduction in assessments on memorising of accumulated facts • Increased self-assessment and self-diagnostic opportunities for students to discover their own gaps, and to calibrate progress against peers • Use of active learning mechanisms that ensure every student gains from every assessment point • Availability of dedicated resources to support staff in design, implementation and evaluation of new assessment strategies Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 10
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 2.4 Active Learning Pedagogy 2.4.1 Overview • Introduction: A shift towards active learning where students become active participants in their learning must be a focus in the current fast changing world rather than students passively “receiving” course content solely from live or recorded lectures. • Examples of active learning activities include brainstorming, discussing, teaching, journaling, group work, focused listening, formulating questions, notetaking, annotating, and roleplaying. It may be noted that lecturing is not an active learning technique! • Literature: There is strong evidence that active learning methods enhance the effectiveness of teaching and instruction (Freeman et al., 2014) in a way that imparts deep understanding of concepts. We will embrace these methods in the department to enable students to succeed and to fulfil their potential. A transformation to active learning (Talbot et al., 2016) will allow students to spend a significant portion of their class time on activities. The learning pyramid in Fig. 3 shows the percentage of learning at each level that a student can acquire the knowledge. Figure 3: Learning Pyramid (Source: NTL, Maine) • Fostering: We will change pedagogy from fact-based traditional lecturing to interactive teaching with the aim of fostering durable skills such as critical thinking, developing an expert mind set, problem-solving, teamwork, and communication • Important elements of modern pedagogy: We will teach students how to handle and interpret concepts, evidence and ideas, how to think and act as experts and, Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 11
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 ultimately, how to produce original insights and valuable knowledge for the benefit of society • Pedagogy in Laboratory: We will transform from labs practicing traditional didactic experiments where students reproduce a given outcome to those where students would experience an open-ended enquiry-based labs (embeds authentic problem- solving and teamwork), allowing them to engage in their own experimental design. • Study materials availability: Classroom and laboratory time can be more interactive when study materials are available online before classes; teachers can get real-time information about students’ learning 2.4.2 Common Active Learning Strategies (Source: Purdue University) 1. THINK / PAIR / SHARE: It was designed to give students in-class opportunities to engage in active discussion with their peers about understanding of a topic. A. Students Think Individually: Start the process by posing a higher- order thinking question to students to “think” about and answer individually within a fixed period of time. B. Students Pair up with Each Other: Partnering with one or more students to discuss their answers to the original question posed. Provide time for each “pair” or group of students to provide rationale for which answer they believe is correct. C. Students Share their Response to the Class: Ask students to verbally express their answer and rationale to the entire class. ✓ Evidence: We will evidence achieving through the following courses: ➢ Core courses: Data Structures, Logic Design, Software Engineering, Programming Language, Algorithms, Automata Theory, Compiler Design, and more ➢ Emerging courses: Machine Learning, Deep Learning, Cloud Computing, and more Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 12
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 2. JIGSAW: It was designed to create a cooperative and interdependent learning environment that engages students in learning and empowers them to take the ownership of their learning. A. Dividing and Assigning the Pieces: Before class or during class, assign students an equal but different “piece” of content that students want to learn. Faculty can decide how students research their specific piece of content (e.g., assigning content from the textbook, providing outside readings, and/or having students engage in their own research). B. Organizing the Pieces: Students form “expert groups” in class by coming together to clarify and confirm the important parts of their specific piece. C. Putting Together the Puzzle: After the expert groups are done meeting, they form home groups with at least one member from each of the different expert groups where students work interdependently to put all the pieces of content together. ✓ Evidence: We will evidence by achieving through the following courses: ➢ Core courses: Data Structures, Automata Theory, Programming Language, Algorithms, Mini-projects and Projects ➢ Emerging courses: Web Programming, Internet of Things, Machine Learning, Deep Learning, and Cloud Computing Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 13
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 2.4.3 More Teaching Innovations 1. DEVELOPING DEEPER UNDERSTANDING : A. Working together to go further: The question is why students sit in a lecture theatre in silence and then learn at home, alone? Instead, you can teach something more interesting: ✓ Replace lectures with a combination of 15-to-20-minute YouTube or other videos and detailed notes, and then in class, students work together to discuss and solve simple, conceptual problems. ✓ Students must review the material before class. This technique, where students study first then come to class to do exercises afterwards, is known as flipped learning. ✓ Evidence: We will evidence through the following courses: ➢ Programming in Java and Python and all Laboratory courses B. Turning ideas into reality: How an academic is used to experience to transform engineers into entrepreneurs? ✓ Evidence: We will evidence by running seminars and webinars telling the story of how to transform engineers into entrepreneurs by bringing in successful entrepreneurs 2. WORKING IN TEAMS: Enabling students work across disciplinary boundaries. A. Learning from one another: “Peer learning can mean students helping students to learn course content – making them better learners.” The advantage of peer learning is that they become more independent learners. B. On the right path: Self-understanding and cultural curiosity are key to successful teamwork. C. A critical view of the world: Students explore global challenges from different perspectives. Encourage students to be active participants, working independently in whatever they do and that is key to their success. ✓ Evidence: We will evidence through the following courses: ➢ Mini-projects, Major projects and Research funded projects Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 14
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 3. TAKING A CREATIVE APPROACH: Approaching challenges with creativity, curiosity, and critical thinking. A. The art of engineering: In the creative process, students need not be too fixed on one idea immediately. But rather an open mind with research and be able to laterally think around a problem. Working in a group where each team is asked to deliver at least one prototype to show how the technology would work and an aesthetic model to show how it would look. The functioning prototype could be as simple as a flow chart. The aesthetic prototype ranges from few screen shots to a full app experience. Creativity is relevant in every work. ✓ Evidence: We will evidence through the following: ➢ An app development, Web development, and Software development through Mobile Application Development, Web Programming, and Programming languages courses respectively B. Making a difference: We will encourage students to think of themselves as innovators and entrepreneurs. “Alongside that there are lots of opportunities within the competition for them to enhance their CVs and develop extra skills.” ✓ Evidence: We will evidence through the following: ➢ Participation in Hackathons, Coding competitions, HackerEarth, and HackerRank for Problem Solving Skills C. Design thinking: It is a way to solve business issues and find entrepreneurial opportunities by applying the design process. More importantly, it’s focused on identifying what the right problem is, before thinking of possible solutions of how to solve that problem. “In their broader entrepreneurship journey, students have to create a start-up. If they want, they can use the outcome of the design thinking module as the starting point and, in some cases, the projects have turned into businesses.” “We’re in an era of innovation, so we need to innovate. But, no innovation without experimentation, and experimentation sometimes comes with failure. The good thing about design thinking is, failure becomes a learning opportunity.” ✓ Evidence: We will evidence through the Design Thinking course: ➢ In addition to generating innovative ideas, we guide through six key phases of the design journey - Immersion, Sensemaking, Alignment, Emergence, Imagining, and Learning in Action. Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 15
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 4. SOLVING REAL WORLD PROBLEMS: Helping students apply their skills innovatively to tackle complex real-world problem. Starting with the end in mind: An approach is to start with the end in mind, asking what is desirable in graduates? Our idea is to make them into independent thinkers. To begin with, we have to provide them the scaffolding for an experiment but they have to build on that and look for the equipment and techniques they will need. Evidence: We will evidence By the end of their first year, students must be ready to carry out their first independent project where they must build for example, a Logic circuit rig within a specified time. Through the second and third years, students are asked to tackle increasingly complex practical, all firmly grounded in real industrial problems. The practical curriculum feeds into the final test in the fourth year, when students complete both a research project and a project to design a software for the real-world problem / industry. The class of students (or outstanding students) who will benefit from these innovations throughout their studies are just beginning to enter the workplace and conquers the real world. 3. Research-based Aim: We believe the research-based education is one of the most distinctive elements of the department. Therefore, our ambition is to make our ISE students to join a community of active researchers. Salient Features of Research-based Education: It • Enables our students to become independent learners with the curiosity and drive to continue learning throughout their lives • Shows students to look for evidence before they act, work together across disciplines, accept that making mistakes is a crucial part of innovation, and understand there are no simple answers to big problems Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 16
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 • Makes confident in uncertainty and understand that positive change frequently requires a challenge to the status quo. • Shows research skills and attributes are valued by employers and will benefit students in their future career. Therefore, all undergraduate and postgraduate students of ISE will undertake research as part of their degree in the department under the supervision of an active researchers. 4. Investing in change The implementation of change will be an ongoing and evolutionary process, which will require investment across many different areas of staff resources and infrastructure over the next few years. 4.1 Staff Requirement The staff resource is very vital in brining changes to teaching-learning strategies and hence we must ensure to backfill for existing staff and additional staff resources to be available to enable departments to undertake this process. 4.2 Funding for faculty-wide pedagogic transformation • Invitation: The faculty within the department will be invited to bid for funding to transform their teaching methods. • Process: The process of bidding is to ensure that funding is made available based on commitment and buy-in from the senior and top leadership within department. Hence, we need to invest in training for all staff to support these changes. • Encouragement: Faculty will be encouraged to work together on bids in pairs or small clusters. In doing, this we may learn from approaches that have been successfully implemented elsewhere. • Benefit: Faculty will benefit from taking an active interest in the development of blended learning and interactive pedagogy. Thus, we shall initially create a community of educators who will drive change, learn together and develop a sustainable culture for others who follow. 4.3 Funding for innovative projects We shall establish a new scheme that awards grants to students who work with faculty under consultancy projects or projects based on priorities. Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 17
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 5. Conclusion 5.1 Department Elements of an Outstanding Education 1. Students should develop transferable skills and disciplinary depth in academics 2. Students should develop on key attributes: problem solving and critical thinking 3. Students should learn through failure without losing marks 4. Students should have the opportunity to engage in inter-disciplinary learning during their stay in the department 5. Teaching and learning should include real life examples and applications that benefits the society 6. Teaching and learning should be research-based 5.2 Curriculum Design 1. A more focused curriculum would allow students to develop deeper understanding of topics, and facilitate active learning methods 2. Decreasing student workloads to balance studying with extra-curricular activities, life outside college, etc. 5.3 Teaching-Learning Methods 1. Small group tutorials 2. Active learning 3. Effective Lectures 4. A well-organized laboratory and practical classes 5. Group work on problem sets, discussions and projects 5.4 Features of an Excellent Teacher 1. Outstanding communication skills, including the ability to explain complex concepts clearly 2. Ability to adapt teaching based on students’ abilities, progress and interests 3. Enthusiasm about their course and about sharing knowledge with students 4. Approachable nature that encourages engagement from students with questions 5. Constructive approach to reflection and student feedback Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 18
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 FACULTY DETAILS Faculty Name: Dr. UDAYA KUMAR REDDY K.R Designation : Vice Principal, Professor & Head Qualification : B.E, M.E, Ph.D (NIT-T) Area of Interest : Algorithms, Artificial Intelligence, Machine Learning Faculty Name: Dr. RAMA MOHAN BABU K. N Designation : Professor Qualification : B.Tech, M.S, Ph.D Area of Interest : Software Defined Networks, Computer networks, Image Processing Faculty Name: Dr. SUMA .V Designation : Professor Qualification : BE, M.S, Ph.D Area of Interest : Software Engineering, Software Testing, Cloud Computing Faculty Name: Dr. RAJESHWARI .J Designation : Professor Qualification : BE, M.Tech., Ph.D Area of Interest : Image Processing, Artificial Intelligence, Machine Learning Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 19
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 Faculty Name: Dr. RASHMI .S Designation : Associate Professor Qualification : BE, M.E, Ph.D Area of Interest : Computer Networks, Cloud Computing, Cryptography Faculty Name: Dr. CHANDRAKALA B.M Designation : Associate Professor Qualification : BE, M.Tech., Ph.D Area of Interest : Cloud Computing, Computer Networks and Cyber Security Faculty Name: Dr. MUZAMEEL AHMED Designation : Associate Professor Qualification : BE, M.Tech., Ph.D Area of Interest : Image Processing, Cloud Computing, Web technologies Faculty Name: Dr. RESHMA J Designation : Associate Professor Qualification : BE, M.Tech., Ph.D Area of Interest : Computer networks and Machine Learning Faculty Name: Mrs. VAIDEHI .M Designation : Assistant Professor Qualification : BE, M.E. (Ph.D) Area of Interest : Cloud Computing, Computer Networks and Cyber Security, IOT Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 20
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 Faculty Name: Mr. SURESH KUMAR .M Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Image Processing, Computer Networks Faculty Name: Mrs. BHAVANI .K Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Image Processing, Web Technologies Faculty Name: Mrs. PRATHIMA MABEL .J Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Software Defined Networks, Computer networks Faculty Name: Mrs. VANI K.A. Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Software Defined Networks, Computer networks Faculty Name: Mrs. REKHA JAYARAM Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Computer Networks, Software Testing Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 21
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 Faculty Name: Mrs. RADHIKA T. V Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Cloud Computing, Computer Networks Faculty Name: Mrs. KRUPASHANKARI .S.S Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Image Processing, Machine Learning Faculty Name: Mrs. SHALINI K.B Designation : Assistant Professor Qualification : BE, M.Tech. Area of Interest : Image Processing, Machine Learning, Algorithms Faculty Name: Mrs. BINDU BHARGAVI S.M Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Software Testing Faculty Name: Mrs. MADHURA .J Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Image Processing Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 22
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 Faculty Name: Mrs. SHILPASHREE .S Designation : Assistant Professor Qualification : BE, M.Tech. Area of Interest : Wireless Networks Faculty Name: Mrs. LATHA A.P Designation : Assistant Professor Qualification : BE, M.Tech. (Ph.D) Area of Interest : Image Processing Faculty Name: Mrs. SREEVIDYA B.S Designation : Assistant Professor Qualification : BE, M.Tech. Area of Interest : Image Processing Faculty Name: Mr. VENKATESH RAMRAO PATIL Designation : Adjunct Faculty Qualification : BE, M.Tech. Area of Interest : Software Engineering, DevOps Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 23
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 TECHNICAL & SUPPORTING STAFF Name : Mr. MAHADEVASWAMY H.M Designation : Programmer Qualification: MCA Name : Mr. YOGESH D Designation : Lab Instructor Qualification: B.E Name : Mr. SATHISHA A.S Designation : Lab Instructor Qualification: B.E Name : Mr. CHETAN .G Designation : Lab Instructor Qualification: Diploma Name : Mrs. RASHMI H.N Designation : Office Assistant Qualification: Diploma Name : Mr. CHELUVA MURTHY R.V Designation : Attender Qualification: S.S.L.C Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE 24
Department of Information Science and Engineering – A World-Class Learning 05/28/2022 *****************END*************** 25 Dr. Udaya Kumar Reddy K R / Vice Principal & HOD, ISE / DSCE
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