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I do remember a lot of people complaining about how he only taught a small portion of what is on the exam in class, but most of the topics were in the lecture notes. Holy shit, this is the most quality Ive ever seen on this sub, major props. The department also offers a Ph.D. in Computer Science. 3 credits, 3 contact hours (3;0;0). Search engine evaluation. Intro final. However, when he is on topic, it's pretty straightforward with what he wants from you. Many other kids in the same course was struggling because the projects they were given literally couldn't be completed within the time frame and ended up getting bad scores. CS434. Students may take any combination of face-to-face and on-line courses or entirely online. | | Useful links | w3schools | | Study Tips | tbh, w3schools does a really good job teaching the material for this course. CS350 Intro Computer Systems - Syllabus Class Web page: http://web.njit.edu/~sohna/cs350 Homework submission page: http://canvas.njit.edu Instructors Andrew Sohn, GITC 4209, (973)596-2315, email: sohna _at_ njit _dot_ edu Do NOT send email on Canvas. I think she did a fantastic job explaining topics on networking and had a lot of diagrams explaining specific topics. 3 credits, 3 contact hours (0;0;3). I've only observed a better parking situation on my last semester and I would arrive to school at around 12. Info School: New Jersey Institute of Technology * Professor: Ryan, Michele A. It really pains me to see that 241 is thought of as useless, because for most other schools it's just as important as 114. 3 credits, 3 contact hours (3;0;0). 3 credits, 3 contact hours (3;0;0). 3 credits, 3 contact hours (3;0;0). | | Usefulness | I haven't used any Data Science in practice yet, but I'm sure I will eventually with the way things are going. Gerard course taught me how to appreciate difficult courses because at the end of the day, I learned so much by trial and error, learning C++ on my own, and trying out different approaches to problem solving. Google cluster architecture). The course provides students an introduction to computer graphics and the knowledge for designing, developing, and applying techniques for both information and volume visualization. Advanced data analysis skills with applications to bioinformatics problems. Programming Language Concepts. Database system architecture; data modeling using the entity-relationship model; storage of databases; the hierarchical, network and relational data models; formal and commercial query languages; functional dependencies and normalization for relational database design; relation decomposition; concurrency control and transactions management. Once you get to your senior year, you should start applying to full-time jobs right away. I honestly think it'd be a good idea to just retake this course while in your final semester here so you can practice common coding questions asked on interviews while you're looking for your first job. Introduction to Cybersecurity. Today, practically every e-commerce application has at least a Web component and a database component. Students will work with C extensively. Only thing I'd add: You may notice OP mentioned some personal projects. 3 credits, 3 contact hours (3;0;0). 3 credits, 4 contact hours (3;1;0). Computer Vision. 3 credits, 3 contact hours (3;0;0). Computer Science with Business Problems. Problem solving decomposition. CS388. | | Personal Opinion | For the most part, I taught myself this course. It's more important to understand the basics of Computer Science and build on top of that. Listing for: PSI Metals GmbH Berlin. My advice is: brush up on your C skills plan your code BEFORE you write it (it's easy to miss some details if you just sit down and start writing it) only write a few lines at a time, then compile and test! 120. The Computer Science Certificate is designed for professionals seeking to expand their technical skills and competencies for tackling the latest challenges in computer science and related areas. As for the project, get it done as soon as possible to iron out bugs. -/u/meattbone, "We also have BS/MS for those looking to finish a Master's degree and get it over with, and in combination with the M.S. CS488. CS490. | | Usefulness | I can remember a few times where I had to do basic socket programming and this course helped me a lot in understanding what to do. CS350 assignments are C-programming heavy. I've made many different Python scripts that automate simple tasks that otherwise would've taken me hours. Methods and techniques for functional requirements analysis and specifications, design, coding, testing and proving, integration and maintenance are discussed. I remember that he would ask the class if there are any questions on the previous lecture and if someone were to ask a question, he'd say something like "it was in the textbook, did you not read it?" Click Here for Webex. Show that NL is closed under the operations union, concatenation, and star. Also, regex and grep is op, you should really take the time to learn this as it has helped me save so much time. 90 terms. Topics include contemporary developments in all mainstream areas of computer vision e.g., Image Formation, Feature Representation, Classification and Recognition, Motion Analysis, Camera Calibration, Stereo Vision, Shape From X (shading, texture, motion, etc. He can get off topic very easily and if you don't like a professor talking about random stuff for like 30 minutes, don't take him. 3 credits, 3 contact hours (3;0;0). > Hopefully someone out there that's thinking about taking these classes or these professors and will take something away from this post. If you are retaking the course you may use your previous solutions as long as they were not subject to a cheating penalty. Topics include: network scanning, TCP/IP stack fingerprinting, system vulnerability analysis, buffer overflows, password cracking, session hijacking, denial-of-service attacks, intrusion detection. 3 credits, 3 contact hours (3;0;0). Topics include basic concepts of computer systems, algorithm design, programming languages and data abstraction. Introduction to Computer Science. This course provides an introduction to computer networks, with a special focus on Internet architecture and protocols. The course covers the concepts and principles of advanced data mining systems design; presents methods for association and dependency analysis, classification; prediction; and clustering analysis. If you have an idea for something to make (like a program that reads the name of a song to you when the song switches on Spotify), try it, you'll definitely learn something. Press J to jump to the feed. cs 350 - intro to computer systems cs 790a - doct dissertation & res cs 792 - pre-doctoral research cs 726 - independent study ii. :). Topics to be covered include: a brief review of the necessary mathematical tools, human visual perception, sampling and quantization, image transformation, enhancement, restoration, compression, reconstruction, image geometric transformation, matching, segmentation, feature extraction, representation and description, recognition and interpretation. Data Science Capstone I. Prerequisites: (CS 265 and CS266) or (IT265 and IT266) with a grade C or better. dont get me wrong, he can help you and provide you with some insight, but when teaching a class, its hard to focus on one thing. Computer Science Syllabi. i also have the option to take cs341 (foundations of computer science) with ionescu and cs43 Press J to jump to the feed. Foundations of Computer Science II. She's a great professor and does a great job giving a lot of details on complicated topics. Also, at the end of the semester she told us to go over her 10 PowerPoints slides that had over 100 slides in each one of them which was pretty yikes. That way, I can remove the convenience of firing up a game and end up not being productive. The B.S. Database System Design & Mgmt. Prerequisites: CS114 and MATH333 with a grade C or better. CS116. Instructors: Ali Mashtizadeh, Rob Hackman Assignments There are four programming assignments. I had almost nothing to present during the midterm except wire frames/concepts of what I was supposed to be doing. I think only one topics from CS241 transferred to the following course, CS341, and even then, the topic wasn't even difficult to learn on your own. Dunno, I'm pretty sure I remember Shu Lee saying it was his first semester teaching CS114, but it was so long ago I probably don't remember too well. in Computer Science M.S. CS490 is a way to get a glimpse into the future where not everything will go the way you want it. Everything you need for the exam is right in those notes and it explains everything well. CS104. CS337. Homework. Full Time, Internship position. Prerequisite: CS490. A lot of your exams will be similar to previous exams. 40 terms. CS351. A graduating student is prepared to work as a computing professional, utilizing the knowledge acquired in the undergraduate program in Computer Science at NJIT. Computer Science | Office of Graduate Studies - New Jersey Institute of An introductory study of how the Linux operating system is built from scratch. New Jersey Institute of Technology Digital Commons @ NJIT Computer Science Syllabi NJIT Syllabi Spring 2020 CS 350-002: Introduction to Computer Systems (Revised for I found it really nice to have the dual boot on my desktop, and whenever I felt like doing homework, even for a course that isn't CS, I would always switch over to Linux to do it. CS345. |, | CS490 | Guided Design in Software Engineering | | ------ | ------ | | Professor | Theodore Nicholson | | Difficulty | | | Notes on Professor | Nicholson is a great professor and gives you a taste of what it's like to be in the real world. |, | CS241 | Foundations Of Comp Science I | | ------ | ------ | | Professor | Adrian Ionescu | | Difficulty | | | Notes on Professor | Ionescu's class is a shitshow. Computer Science Syllabi CS 331-102: Database System Design and Management (Revised for Remote Learning) Syed Asim Abbasi Instructor Abbasi Document Type Syllabus Course Semester Spring 2020 Department Computer Science Course Number CS 331 Course Section 102 Recommended Citation Home Software tools such as Tableau and programing languages such as Python will be used to represent and interpret information in various visual forms, and volumetric visualization algorithms such as marching cubes and ray casting will be used for big data visualization of 3D datasets in scientific domains. See below for some details. This must have the approval of both the department and the faculty mentor. (Extra) Helpful Links = I'm hoping some comments could help me out on this part. The architecture of a search engine. This is an introductory course to Machine Learning (ML). CS-SYLLABI This course introduces mobile application development for the Android platform. Rush hour around NJIT is really bad around 8-9 and picks back up around 4-5. CS366. Trust me.. All you need is a nice mid-range, $500 to $1000, laptop that can handle basic programs. An introductory course in computer science, with applications to business and managerial decision making. CS103. deployed in cloud-based cluster environments. Prerequisites: CS100 and CS280 with a grade C or better. A full-time credit load is 12 credits. kelsey_freeman69. 3 credits, 3 contact hours (3;0;0). (Extra) Study tips = I'll put this in here if there is anything really important. Exams are most likely going to be exactly like the homework. Prerequisites: CS356 or IT420 with a grade C or better. Introduction to Artificial Intelligence. | | Usefulness | Never used anything I learned from CS 252 in practice, but it did build a foundation of what other courses are built on. This overview is going to be focused towards the major Computer Science courses required for the curriculum. CS444. | |Study Tips| For the online class, listening to lectures at 1.5x or 2.0 speed really helps. Covers concepts and principles of data mining in bioinfomratics. Once the last 25% of the course came around, however, we had to create a whole website for the sponsor with some financial functionality. Bioinformatics Senior Project. It's best to get familiar with linux sooner rather than later. I found myself getting stuck on "complicated" topics but in reality, I just didn't understand simple concepts like pointers and polymorphism. I do remember other groups that weren't so fortunate and they had to work with people who didn't show up to their planned meetings, just didn't do the things they were assigned, or even dropped the class without giving notice to their team. This is the most important thing you can gain from any Computer Science degree." CS375. Case studies (e.g. Prerequisites: CS280 and CS241 with a grade C or better. The emphasis is on the logical analysis of a problem and the formulation of a computer program leading to its solution. Projects are provided by faculty members or industry partners, or proposed by students who wish to become entrepreneurs. That being said, follow u/olajuwong's guide to food around NJIT, "I would also like to mention the added benefit of doing research with professors. There are a lot of requirements needed for the projects and you'll find a way to break down and divide the work. This certificate program provides essential skills for computing professionals interested in designing and developing a variety of software systems. To view the content in your browser, please download Adobe Reader or, alternately, An introductory course that is designed for engineering freshmen. The contents include booting, segmentation and paging, creating and destroying processes, process switching and scheduling, handling exceptions and interrupts, software interrupts, creating system calls, creating file systems, networking with TCP/IP, device driver writing and module programming. Listed on 2023-03-04. GitHub is totally necessary, and maybe a personal website (which you can host for free at NJIT). This goes for all courses at NJIT. NJIT CS332 - CH1 Flashcards | Quizlet 350.00. Students must prepare, in collaboration with their faculty mentor and in the semester prior to enrolling in this course, a detailed plan of topics and expected accomplishments for their independent study. Student projects involve the use of a DBMS package. I did not like the way he taught his class because it would mainly go something like this : 1) Write a complicated problem on the board 2) wait 20 seconds for the entire class to "solve" this complex problem 3) Solve the problem on the board within 2 minutes without explaining anything 4) go back and point at random parts of the solved equation and tell the class to "just do it". | | Useful Links | Learn regex, Sohn's old stuff| | Study tips | If you actually do the homework "from skwatch" you'll be fine. Real-life big-data applications and workflows in various domains are introduced as use cases to illustrate the development and execution of emerging big data-oriented solutions using HDFS, HBase, MapReduce/Spark, etc. Overall, she was really easy to understand and her lectures made it easy to pass the course. Despite what people think, I think Sohn is an excellent professor. Introduction to Computer Science II. As more and more programming languages become obsolete, it really is more important to learn how to adapt to a new language by applying things you already know. Emphasizes both underlying theory and applications. | | Personal Opinion | I can tell from experience that you should really pay attention to this course. and Ph.D. degree programs in computer science, and evolving interdisciplinary programs like telecommunication, bioinformatics and, computing and business. CS486. This includes the theoretical foundations of computer science and practical applications of database design, programming and software engineering. Data Mining. Difficulty = How difficult I found the course to be. The overall objectives of this course are to investigate the nature and techniques of a data-oriented computing development project.