Explore a wide array of carefully selected resources designed to support your learning and academic success. Whether you're looking for books, excellent students Drives, youtube channels, or other materials, you'll find everything you need for every module here.
Modules
Students
Digital Books
Understand the basics of mathematics, including algebra and calculus.
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Unlock the world of programming, starting from variables and loops to arrays and linked lists.
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Explore digital systems, including binary arithmetic, logic gates, and digital circuits.
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Cultivate in critical thinking and creative problem-solving with HBDI and the Whole Brain Concept.
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This course covers the basics of English, including grammar, vocabulary, and reading.
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Dive deep into linear algebra, mastering the intricacies of vectors, mappings, and matrices.
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Delve into Mathematical Analysis 1, covering Taylor Expansions, Integrals, and differential calculus.
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Master statistics and probability with descriptive analysis, data visualization, and probabilistic models.
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Learn the basics of Linux, including commands, shell scripting, and system administration.
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Understand the basics of Databases, including concepts like normalization, ER model, SQL, and more.
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Explore the advanced concepts of analysis, including concepts like Multivariate functions, series, and more.
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Study mathematical logic, covering advanced topics in formal systems, model theory, and proof theory.
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Discover Probability basics, including Bayes theorem, conditional probability, and more.
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Learn Web Development, including concepts like HTML, CSS, JavaScript, and more.
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Diving into the basics of business, covering topics like finance, marketing, and more.
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Discover the fundamentals of AI, including optimization, machine learning, and neural networks.
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Explore automata theory, computational complexity, and formal languages.
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Understand how Operating Systems function: managing processes, memory, and file systems.
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Study Computer Arch. : CPU design, memory hierarchy, and I/O systems.
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Master Statistical Inference with hypothesis testing, confidence intervals, and regression analysis.
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Study Analysis 3, including advanced calculus, measure theory, and functional analysis.
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Explore Electronic Circuits Lab, focusing on Arduino projects, circuit design, and hands-on experimentation.
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Discover patterns and insights from large datasets using clustering, classification, and association rules.
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ptimize decisions and resources with mathematical modeling and analytical methods
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Analyze systems with randomness through probabilistic models and simulations.
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Develop reliable software using sound practices and methodologies throughout the SDLC.
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Understand the principles and protocols that enable reliable and efficient data communication.
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Create dynamic mobile applications for various platforms, focusing on UX and performance.
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Learn innovation types, product development, creativity, and key entrepreneurial skills.
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Develop algorithms to enable computers to learn from data and make predictions.
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Solve mathematical problems and optimize systems using computational techniques.
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Analyze and classify data sequences over time to identify patterns and make forecasts.
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Learn the foundations of cybersecurity, cryptography, and securing computer systems and networks against threats and attacks.
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Explore computational techniques for analyzing and understanding human language, including text analysis and sentiment detection.
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Learn advanced neural network architectures and techniques to model complex patterns and make predictions from large datasets.
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Study the design and evaluation of user interfaces, focusing on improving the interaction between people and computers.
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Learn about wireless communication principles and technologies, covering network design, signal processing, and system optimization.
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Learn about the design, control, and navigation of robots that can move and operate autonomously in various environments.
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Explore the ethical implications of AI, focusing on issues like bias, privacy, accountability, and the societal impact of AI-Techs.
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Delve into advanced AI concepts and technologies, including machine learning, neural networks, natural language processing, and computer vision.
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Focuses on enabling computers to interpret and process visual information, such as image recognition and object detection.
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Learn methods to analyze large datasets and present insights visually for enhanced understanding and decision-making.
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Explore algos for agents learning optimal behavior through interactions with environments, guided by rewards
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Techniques for analyzing and understanding spoken language, including speech recognition and synthesis.
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Focuses on maximizing computational efficiency for tackling complex problems across scientific and engineering disciplines.
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Improves business operations with efficient IT resource use in data management, networking, and software solutions
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Focuses on effective scholarly communication and rigorous research methodologies within academic settings.
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