Computer Science 101: Master the Theory Behind Programming

🎓 **Computer Science 101: Learn Computer Science to become a better Programmer and Software Engineer!** --- ### 🚀 Master the Theory Behind Programming 🚀 Are you eager to dive into the world of programming and software engineering, but feel like something is missing from your skill set? Perhaps you've been coding for a while and want to solidify your understanding of the principles that make a programmer truly stand out? **Computer Science 101** with [Kurt Anderson](https://www.udemy.com/user/kurtanderson23/) is here to guide you through the essentials of computer science theory, which is the cornerstone of effective programming. #### Why Enroll in This Course? 🤔 - **No Prior Experience Necessary!** 🏗️ Computing and its underlying theories are not just for the analytically inclined. With Computer Science 101, you'll discover that these concepts can be grasped by anyone willing to learn through a variety of **easy to digest** lessons tailored for beginners. - **Importance of Theory in Programming** 🧠 Great programmers know the importance of understanding the theory behind programming languages. This course will teach you how to apply these theories across various programming languages, elevating your problem-solving skills and making you a more versatile coder. #### Course Highlights ✨ This course is packed with fundamental topics that every aspiring programmer should know: - **Binary Number System** - **N Notation** - **Big O Notation** - **How to Analyze a Program** - **Arrays and Their Advantages** - **Nodes and Their Importance** - **Linked Lists and Their Advantages & Implementations** - **Stacks (with Arrays & Linked Lists)** - **Queues (with Arrays & Linked Lists)** - **Sorting Algorithms and Their Comparisons** - **Trees and Binary Search Trees** - ...and so much more! 📚 #### My Guarantee to You 🤝 I am confident that you will find this course valuable and engaging. To back up my confidence, I offer a **100% 30-day money-back guarantee** through Udemy. If for any reason you are not satisfied with your purchase, I'm here to offer a full refund. #### Ready to Get Started? 🎞️ Enroll today and begin your journey at your own pace. Whether you're busy now or can only dedicate time later, this course is designed to accommodate your schedule. You don't have to rush—learn effectively, on your terms. #### About the Instructor 👩‍💻 Kurt Anderson is an experienced instructor who has designed this course with a focus on clarity and accessibility for all learners. With his guidance, you'll navigate through complex topics in computer science and emerge with a solid understanding of the fundamentals. --- So, are you ready to take your programming skills to the next level? Enroll in **Computer Science 101** today and start building a stronger foundation in computer science theory. I'm looking forward to seeing you inside the course! Thanks for considering this course for your learning journey. I can't wait to help you unlock your potential in programming and software engineering. Let's get started! 🫠 See you inside the classroom, Kurt Anderson

🔝 **Overall Course Rating:** 4.56/5 ## Course Review ### Pros: - **Clear and Concise Explanations**: Many reviewers praised the instructor for his clear, concise explanations of mathematical principles and frequent real-life examples (Reviewer 2, 7, 10). - **Easy to Understand**: The course is described as easy enough to follow that learners can think about the lectures in their own words (Reviewer 3). - **Informative Content**: The content is reported to be excellent, with a significant portion explained very well, especially when accompanied by real-life examples or Python code (Reviewer 6). - **Useful Notes**: The notes provided after subjects are highly valued, with suggestions that they could be edited into slides for higher quality visuals (Reviewer 6). - **Educational Value**: The course is recommended as a good introduction to computer science and is said to fill in conceptual gaps (Reviewers 9, 14). - **Engaging Presentation**: The presentation style of the instructor is described as engaging and fun to watch (Reviewer 12). - **Real-World Applications**: The course is appreciated for its practical approach, making concepts easy to understand and applicable in real-world scenarios (Reviewer 3, 16, 17). - **Refresher for Undergraduates**: For those with some background, the course serves as a refresher that builds confidence and application in their work (Reviewer 15). - **Comprehensive Coverage**: The course provides a thorough introduction to computer science theory and includes code examples (Reviewers 7, 14). ### Cons: - **Vague Explanations**: Some reviewers found the explanations too vague or in need of more conceptual explanation, particularly when certain terms were used that were not mathematically correct (Reviewer 18). - **Presentation Style**: A few reviewers were not fans of the handwritten style of presentation, finding it messy and confusing (Reviewer 14). - **Background Knowledge Required**: Some content may require a good knowledge of mathematics to be fully understood, which could be a barrier for those without such background (Reviewer 8). - **Need for Coding Examples**: There is a suggestion that providing access to coding examples on GitHub would help learners practice more (Reviewer 13). - **Improvement in Graphics and Terminology**: It is recommended that the visual graphics of the course be improved, and terminology should be accurate to aid learning (Reviewers 6, 18). - **Pacing of Content**: Some reviewers indicated difficulty understanding certain sections, particularly regarding nodes and hashing, but overall described the experience as amazing and worth the effort to revisit the videos for clarification (Reviewer 4). ### General Observations: - The course appears to be well-received overall, with many reviewers indicating that it meets the learning objectives of providing clear explanations, real-life examples, and valuable notes. - While some learners may find parts of the presentation style and content vague or challenging due to a lack of foundational knowledge, the course is generally seen as effective for understanding computer science concepts and applying them in practical scenarios. - The instructor's engaging presentation style is highly regarded, and the course's comprehensive nature makes it a valuable resource for both beginners and those looking to refresh their understanding of core computer science theories. ### Recommendations: - Improve visual graphics to enhance clarity and professionalism. - Ensure terminology used is mathematically accurate to avoid confusion. - Consider providing additional practice materials, such as coding examples on platforms like GitHub. - Perhaps offer supplementary resources or sections for learners who may need a refresher on foundational mathematical concepts before diving into the more complex topics covered in the course.