The document provides guidance to students on a simplified roadmap for studying computer science. It recommends focusing first on fundamental subjects like programming, data structures, and algorithms, practicing problem-solving, and participating in programming competitions. It outlines timelines for completing core CS subjects over 1-4 years either sequentially or in parallel with technology tracks. It also provides course recommendations and emphasizes gaining a strong understanding of programming concepts before specializing in areas like front-end or back-end development, machine learning, or other technology fields.

1. ‫خارطة‬
‫طريق‬
‫مبسطة‬
‫لعلوم‬
‫حاسب‬
Mostafa S. Ibrahim
Teaching, Training and Coaching for more than a decade!
Artificial Intelligence & Computer Vision Researcher
PhD from Simon Fraser University - Canada
Bachelor / Msc from Cairo University - Egypt
Ex-(Software Engineer / ICPC World Finalist)

2. You after few years:
“10 Things I Wish
Someone Told Me When
I Went to University”

3. ‫سلسلة‬
‫حاسبات‬
‫إلرشاد‬
‫الطلبة‬

4. ‫سلسلة‬
‫حاسبات‬
‫إلرشاد‬
‫الطلبة‬

5. ‫سلسلة‬
‫حاسبات‬
‫إلرشاد‬
‫الطلبة‬

6. ‫سلسلة‬
‫حاسبات‬
‫إلرشاد‬
‫الطلبة‬

7. ‫سلسلة‬
‫حاسبات‬
‫إلرشاد‬
‫الطلبة‬

8. Today
● A short and focused guidelines to NOT be lost
● If any conflicts between this NEW video and OLD videos, this is the priority!
● There are many CS subjects that you should study all
● Let’s see your top priority today
● Other subjects? schedule others later
○ Maybe schedule them during the college days
○ Or in parallel to the work
○ You only need a crash course for these other courses (or at least 2-3 chapters)
● Can I study technology track early before or parallel to basics?
○ You shouldn’t. Usually you will regret 3-4 years later in work
■ Yes, you can make money early! But don’t
○ Do that ONLY if you are under great financial stress

9. The fundamental/critical subjects
● Programming and OOP
○ Strong understanding for the language syntax
○ Builtin library (like C++ STL / Java collection
○ Do many console projects
● Data Structures and Algorithms
○ These 2, especially algorithms, will take a LOT of time
○ You need to PRACTICE a lot
○ They will change your mentality. Make you a problem-solver
○ Enhancing coding, debugging and testing skills
○ Interest in programming competitions?
■ Start in my Juniors-sheet and participate in ICPC contests
○ Important for some local interviews. Mandatory in big companies (FAANG like Google)

10. The fundamental/critical subjects
● Design Patterns
○ One step toward enhancing your design skills
○ Important in interviews
● Software engineering
○ UML Diagram tools
○ Methodologies to manage a big project/team such as Agile
○ Many courses/books are very talkative :(. Get an idea

11. The fundamental/critical subjects
● Database (RMDBS - NoSQL)
○ This is where we store the data
○ Critical for backend jobs. Go deep
○ Good to know for frontend jobs
● Networking and Operating systems
○ A fair course is enough. Having some background is useful
○ Delay if running out of time but schedule as soon as possible
○ As a fresh Software Engineer, it is rarely to be asked in them

12. Market Track
● Front/Back end software engineers
are the most popular
● Next jobs are Machine Learning
and Data science
○ Less and more competitive
● Limited (for fresh)
○ Embedded development, Games
Development, Security
Img credit

13. Timeline
● Nowadays, many people start programming in prep or secondary school
○ My split of 1st/2nd and 3rd/4th doesn;t make sense for them
● If you are new to the field
○ Try in the first 2 years to finish these core subjects
○ Starting from the third year focus on the technology
○ Keep problem solving activity as long as you code in the market (next ~10 years)

14. The core of the core
● First, Deep focus with Programming, OOP, Data Structures and Algorithms
● My recent Udemy (Promotion) English are built to achieve a consistent and
intensive roadmap for this stage. You need around 1000 hours to finish

15. The core of the core: Timeline
● 1- Start the C++ Course. Go up to finishing pointers topic
● 2- Then In parallel, you will do the following:
○ Continue in the C++ course until the last project. You don't have to finish the last modern
sections.
○ Start in the data-structure course
○ Start in this interviews preparation sheet
● 3- Done with the data-structure course?
○ Move to Algorithms Part 1 then Part 2
● 4- Move to the interviews course
○ This one can be parallel to coming things (basics/technology)

16. What about the other languages
● You can start with ANY language. My preference is C++
● Many languages are not well served. Limited practice and projects
● So
○ If I have courses for the other language, just take it
○ If no, find ANY course with good coverage on the internet
AND
Solve the practice/projects of my corresponding C++ course

17. The remaining of the core
● One approach
○ Finish the remaining fundamental subjects first, then move to technology
○ I prefer that
● Another approach
○ Parallelize the other subjects + a technology track
○ Tip: if you plan to work in backend, finish database (RDBMS) first

18. ● The core: My Udemy courses
● Design patterns: link link link link (pick one)
● Software Engineering: Link
● Database: Link
● Operating Systems: CS-537, CS-342
● Computer Network: Books (Computer Networking A Top-Down Approach,
Computer Networks by Andrew S. Tanenbaum) — Course
● Machine Learning: Link
● Technology roadmaps: https://roadmap.sh - backend - frontend
● Competitions Sheet
● My overall contributions (important) / More
Materials

19. Misc
● Got lost? Just pick a programming language and focus on it for now!
● The other videos in the playlist will answer more questions for you

20. ‫علمكم‬
‫هللا‬
‫ما‬
‫ينفعكم‬
‫ونفعكم‬
‫بما‬
‫تعلمتم‬
‫وزادكم‬
ً
‫علما‬