Dept. of Computer Science and Engineering, IUB

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟏𝟐: 𝐍𝐞𝐮𝐫𝐚𝐥 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐛𝐲 𝐝𝐨𝐦𝐚𝐢𝐧 𝐞𝐱𝐩𝐞𝐫𝐭

A neural network trains computers to analyze data in a way that is inspired by the human brain.
In this course, you will be learning the foundational concept of neural networks and deep learning. By the end of this course, you will be able to construct, train, and use fully connected deep neural networks, implement effective (vectorized) neural networks, recognize important factors in the architecture of a neural network, and use deep learning for your own applications.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟏𝟏: 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈) 𝐛𝐲 𝐚𝐧 𝐞𝐱𝐩𝐞𝐫𝐭 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫

The core ideas of artificial intelligence will be covered in this course, which also introduces students to the techniques used in problem-solving, learning, and knowledge representation. These learning algorithms can be utilized in various industries, from software engineering to investment banking. Learning algorithms can identify patterns that, for instance, can be used to detect cancer. We can create algorithms that make very accurate assumptions about market movements in stock prices. AI engineers are getting paid very well in different industries. AI is no more future, this is present. So hurry up to grab the course!

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟏𝟎: 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐜𝐚𝐥𝐢𝐛𝐫𝐚𝐭𝐢𝐨𝐧 𝐛𝐲 𝐝𝐨𝐦𝐚𝐢𝐧 𝐞𝐱𝐩𝐞𝐫𝐭

Robotic design and calibration is a set of guidelines for building a robot or robotic system. This is a combination of architectural blueprints, technical schematics, operating procedures, or circuit diagrams. Students will explore the fundamental principles of robot design, control, and sensing in this program. Robotic systems are essential to the development of automation and other developing technologies, which are driving the creation of novel industry solutions. Students will study the analysis and design of mechanisms, including the mathematical representation of robotics, from our professionals.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟗: 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐑𝐨𝐛𝐨𝐭𝐢𝐜 𝐛𝐲 𝐝𝐨𝐦𝐚𝐢𝐧 𝐞𝐱𝐩𝐞𝐫𝐭

The study of robotics includes many issues which are traditionally part of the computing sciences; distributed and adaptive control, architecture, software engineering, real-time systems, information processing and learning, mechanics and dynamics, geometrical reasoning, and artificial intelligence. The processing and mechanical functions of robots are dependent on the target platform and the world in which it is situated. A designer of an embedded computational system for sensory and motor processes needs to appreciate and understand all of these disciplines. The introduction to Robotics course is concerned with the design and analysis of basic robots. The focus will be on sensory and motor systems that interpret and manipulate their environments. In addition, we will study kinematics and dynamics, actuators, sensors, signal processing, associative memory, feedback control theory, supervised and unsupervised learning, and task planning.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟖: 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐝 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐭

Distributed Database course covers a detailed study of advanced topics on relational database theory, query processing and optimization, recovery techniques, concurrency control, data fragmentation, replication, security, and integrity of distributed database systems. Industry experts discuss different topis including heterogeneous databases and paradigms (deductive, object-oriented) used in distributed systems which help students analyze real-world data management scenarios and design appropriate data schemas.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟕: 𝐃𝐚𝐭𝐚 𝐌𝐢𝐧𝐢𝐧𝐠 𝐛𝐲 𝐝𝐨𝐦𝐚𝐢𝐧 𝐞𝐱𝐩𝐞𝐫𝐭

Fundamental concepts of data mining and the techniques and issues associated with analyzing large data sets are covered in this course. Topics include Data warehouse and OLTP technologies for data mining, classification of data mining techniques and models, data pre-processing, data mining primitives, query languages and system architecture, characterization and comparison, association rules, cluster analysis, multidimensional analysis and descriptive mining of complex data objects, data mining in distributed heterogeneous database systems, data mining applications and future research issues. In this course, students will get an overview of the field of data mining, and an in-depth study of different mining technologies. Students will be given projects and assignments where they will develop hands-on experience in data mining, clustering, and data dimension reduction using different mathematical tools.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟔: 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐛𝐲 𝐝𝐨𝐦𝐚𝐢𝐧 𝐞𝐱𝐩𝐞𝐫𝐭

The underlying structure of a software system and the discipline of generating such structures and systems constitute software architecture. Students will study how to apply design ideas, patterns, and architectures to construct reusable and flexible software applications and systems as part of the Software Architecture specialization course. Students will learn how to describe and record the software system's design and architecture. Students will build employable skills and relevant expertise in the software industry as a result of the domain experts' real-world examples and practical experiences.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟓: 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐭

Software Marketing refers to applications that facilitate the ex*****on of campaigns, the pe*******on of target markets, and the conversion of leads into sales. Companies of every size can profit from marketing solutions, which allow them to utilize resources and eliminate repeated activities. Taking this course students will get an idea of the global nature of software marketing and take appropriate measures to operate effectively in international settings. Students will be able to develop marketing strategies based on product, price, place, and promotion objectives. Industry experts involved in software marketing will also teach students to formulate software marketing strategies that incorporate psychological and sociological factors which influence consumers.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟒: 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐛𝐲 𝐝𝐨𝐦𝐚𝐢𝐧 𝐞𝐱𝐩𝐞𝐫𝐭

Software engineering is a methodical technical approach to the development of software. A software engineer applies software engineering principles to the design, development, maintenance, testing, and evaluation of computer software. From the Software Engineering course students will understand the background of Software Engineering, software process management, the concept of requirement analysis, the concept of Software testing and quality issues, and many more from our experts.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟑: 𝐂𝐥𝐨𝐮𝐝 𝐜𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐭

This course introduces students to the fundamentals of cloud computing and software development for cloud platforms. The course will cover the topics of cloud infrastructures, virtualization, software-defined networks and storage, cloud storage, and programming models. Industry experts will discuss the motivating factors, benefits, and challenges of the cloud, as well as service models, service level agreements (SLAs), security, example cloud service providers and use cases. Modern data centers enable many of the economic and technological benefits of the cloud paradigm; hence, professionals will describe several concepts behind data center design and management and software deployment.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟐: 𝐁𝐥𝐨𝐜𝐤 𝐂𝐡𝐚𝐢𝐧 (𝐂𝐒𝐄𝟒𝟗𝟎) 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐭

A blockchain is a decentralized, distributed, and public digital ledger that is used to record transactions across multiple machines such that the record cannot be modified subsequently without modifying all nodes in the network and gaining network approval. This specialization provides an introduction to blockchain, covering a range of fundamental subjects, from the cryptographic foundations of blockchain technology to allowing decentralized applications on a private Ethereum blockchain platform. It is great for developers and designers working with industry experts in the creation and implementation of blockchain applications, as well as anyone interested in understanding its potential.

𝐎𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 𝟏: 𝐃𝐞𝐯𝐎𝐩𝐬 (𝐒𝐚𝐭𝐮𝐫𝐝𝐚𝐲 𝟏𝟏.𝟎𝟎 𝐚𝐦) 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐭𝐬

DevOps, a field encompassing software development and IT operations, is in a dire state of shortage within the industry. This is owing to organizations' increasing adoption of DevOps practices and modern technologies, such as cloud computing and containerization, requiring more automation. This presents a valuable opportunity for undergraduate students to acquire these in-demand skills and reap the rewards of high-paying job opportunities and a plethora of career paths, including roles such as DevOps Engineer, Site Reliability Engineer, and Infrastructure Engineer. These roles not only offer a high degree of autonomy but also the chance to work on challenging and innovative projects. Thus, learning DevOps can be a smart move for undergraduate students seeking to have a rewarding and fulfilling career.

Topu Newaj is a highly experienced and successful software development professional. He currently holds the position of Executive Vice President at KonaSL, a Korean multinational fintech company. He is also the founder, director, and Ex-CTO of Secure Link Services Ltd, a Swiss multinational software firm.
With 23 years of software development experience under his belt, Newaj has a wealth of knowledge and expertise in the field. He has recruited and mentored hundreds of developers and has consulted with customers on more than 30 products from all over the world. He has an impressive track record of success, having played a key role in generating $100 million in sales.