His lectures are very awkward and his voice is monotone. Yeaa, I have heard a bunch of horror stories from Itani and Rutkowski. 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. Understanding how to calculate time and space complexities would often make me write more efficient code in order to reduce time/space. Organization of operating systems covering structure, process management and scheduling; interaction of concurrent processes; interrupts; I/O, device handling; memory and virtual memory management and file management. CS332. 3 credits, 3 contact hours (3;0;0). I liked learning about these different types of machine and the logic behind it. He makes it pretty obvious what will be on the exams (Usually it's a copy pasta of the homework but with different numbers) and will explain things if you ask. 3 credits, 3 contact hours (3;0;0). Introduction to UNIX Operating Systems. One regret I have is that I was too busy not doing that, so finding internships/co-ops was a bit of a challenge. 3 credits, 3 contact hours (3;0;0). Majors. Description: Pandora Travelling Makeup Toiletry Bag Like new. Introduction to arrays and lists. Thanks, this really helps a lot! Since most people don't use just C these days, that can be a little daunting. Prerequisite: CS280 with a grade C or better. 3 credits, 3 contact hours (3;0;0). Students will learn how to reprogram a professional game engine, or Modification (Mod) development as it is referred to in the industry. > 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. 3 credits, 3 contact hours (3;0;0). The library and random rooms in FMH are great places to study and get shit done. I found myself getting stuck on "complicated" topics but in reality, I just didn't understand simple concepts like pointers and polymorphism. Database System Design & Mgmt. Accessibility Statement. 3 credits, 3 contact hours (3;0;0). This is an introductory course to Machine Learning (ML). CS276. An introduction to programming and problem solving skills using Python or other very high level language. 2D Game Development. Really good opportunities to get an internship or a co-op. past courses. I lean back on my personal projects for code reference all the time. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. I appreciate all the links and personal opinions, and I honestly did not know about the CDS reserved interview rooms before -- that could have saved some awkward interview experiences. The B.S. 38, CS 350-002: Introduction to Computer Systems (Revised for Remote Learning), Sohn, Andrew, "CS 350-002: Introduction to Computer Systems (Revised for Remote Learning)" (2020). > Good Condition. Continuing students should consult with their academic advisor to determine the appropriate credit load. Prerequisites: CS100 or CS115 and MATH333 or ECE321 with a grade C or better. 3 credits, 3 contact hours (3;0;0). CS - New Jersey Institute of Technology - Course Hero Schools New Jersey Institute Of Technology CS CS * We aren't endorsed by this school CS Dept. CS101. Restriction: Open only to Computer Science majors and who have the prior approval of the department and the CS faculty member who will guide the independent study. The course instructor will mentor and evaluate all projects in conjunction with an entrepreneurship board of industry, faculty, and alumni advisors. This course will also discuss a selection of special topics in interactive graphics. 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. MATH 213 Calculus III B, MATH 222 Differential Equations. | | Usefulness | Although I do understand the concept and theory behind the course, I don't know when or how I will be applying CS241 work in to real life practice. | | Personal Opinion | I was able to AP out of CS 113 so I went straight to CS 114 after CS 100. provides a more technical exploration of computer science and is excellent for students planning to pursue advanced study in computer science while the B.A. Shout-out to ACM for helping me acquire a social life at NJIT : NJIT ACM Discord, Shameless plug : come join my server (sorry Evan) : NJIT Community, And also come join this if you need help with anything CS : NJIT YWCC Discord, Also I will not give you my homework or exams, please do not PM me. 3 credits, 3 contact hours (3;0;0). Random thoughts and stuff that I don't know where to put: The unofficial subreddit for NJIT students! CS350 Intro Computer Systems Homework 1 Homework 1 on Reality Check Write C programs to implement the reality we discussed last week. A student receiving degree credit for CS113 cannot receive degree credit for CS115. Turns out you don't have anything to do until like the middle of the project and once you do that one task, you're basically done for the rest of the semester. Writing, debugging, and analyzing computer programs. Advanced Data Structures and Algorithm Design. CS482. If you cheat, you're only hurting yourself, especially for a course as important as this. The ability to use existing programs and to write small programs to access bioinformatics information or to combine and manipulate various existing bioinformatics programs has become a valuable part of the skill set of anyone working with biomolecular or genetic data. For every course, it's generally a good idea to get the material that was done from previous courses and then use that to study off of. Exams are most likely going to be exactly like the homework. Just be prepared to move if you are in FMH because there may be a class incoming. Despite what people think, I think Sohn is an excellent professor. The most useful thing I took you from this course was the problem solving technique that the course made me go through. This may be stupid, but it makes sense. (how did I set up that thing in the build.gradle? Senior Project. for example, we were creating a game and he started talking about variables (it was a beginner class), and started talking about how he liked walking. 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. Student projects involve the use of a DBMS package. Students considering switching to Computer Science or Mathematical Sciences should take PHYS 111/111A and 121/121A. Overall, she was really easy to understand and her lectures made it easy to pass the course. The certificate consists of 12 credits and can be pursued on either a part- or full-time basis. Roadmap to Computing. 31 terms. Introduction to Computer Science II in C++.. 3 credits, 3 contact hours (3;0;0). Software Trainer & Training Designer. CS438. 3 credits, 3 contact hours (3;0;0). 2. This course introduces mobile application development for the Android platform. in Software Engineering NJIT CS332 - CH2. I personally had to deal with middle-end because from my understanding at the time, I was told it was the most difficult and I wanted to give myself a challenge. It consists of four stages: basic tools such as Bash and C programming; searching trees and matrix computing, end-to-end applications such as one that constantly presents top 100 stocks; and extending the applications to run on multiple machines. About | There are a lot of requirements needed for the projects and you'll find a way to break down and divide the work. :). CS388. Query processing. yo. Problem solving decomposition. Prerequisites: CS280 and CS288 with a grade C or better. As the largest computer science department among research universities in the New York metropolitan area, the Department of Computer Science is a bustling stomping ground for students looking to explore computer science on both a technical and liberal arts level. The combination of an unmotivated professor and no interest on my end really made me not care about this course too much. Probably after you take CS114 because you'll have the knowledge to pass the interviews. |, | CS356 | Intro To Computer Networks | | ------ | ------ | | Professor | Susan Thomson | | Difficulty | | | Notes on Professor | Thomson is one of the best professors I had at NJIT and is the reason why I found the class so interesting and fun. Computer Science Syllabi CS 301-004: Introduction to Data Science Pan Xu Instructor Xu Document Type Syllabus Course Semester Spring 2020 Department Computer Science Course Number CS 301 Course Section 004 Recommended Citation Xu, Pan, "CS 301-004: Introduction to Data Science" (2020). Dass goes really in depth with all the queries she has and would often times make one that's more than 400 characters, which she will follow up with a breakdown of what each part is doing. Prerequisites: IT 102 or IT114 or CS114 or CS116 with a grade C or better. | | 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. Data Visualization. An opportunity for the student to integrate the knowledge and skills gained in previous computer science work into a team-based project. This must have the approval of both the department and the faculty mentor. Data Science Capstone I. . Parking can be difficult around 11:30-12:30 and usually gets better around 2. See below for some details. And to state the obvious : This is a summary of how I felt about the courses, and it is entirely my opinion. He'd always talk about something in his personal life and is a huge nerd about tech things. CS491. Introduction to Cybersecurity. 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. I don't remember a time where I felt regret in my decision to go to NJIT. Prerequisites: CS356 or IT420 with a grade C or better. CS356. This course introduces basic concepts and methodologies of computer vision, and focuses on material that is fundamental and has a broad scope of applications. | | Personal Opinion | 288 is great. Foundations of Computer Science I. 90 terms. GitHub is totally necessary, and maybe a personal website (which you can host for free at NJIT). Students receiving credit for CS408 may not enroll in CS608. Start is possible in Fall, Spring or Summer semesters. AS a hands-on course, students will perform intensive programming using the Linux kernel. Minimum Grades: Prerequisite grade requirement for Computer Science majors: 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. Case studies (e.g. CS331. See the General Education Requirements Refer to the General Education Requirements for specific information for GER courses". Prerequisite: CS490 with a grade C or better. or any Math 300/400 level except MATH 305 Statistics for Technology. | | Personal Opinion | Like I said before, this course is very important and you should take your time going through it all. 3 credits, 3 contact hours (3;0;0). (She did go over the naive bayes theorem which wasn't gone over in the dedicated stats class, so that's good.) See the details of reality in the lecture notes: reality_1 on page 4, reality_3 on page 8 and reality_4 on page 12. CS 337 Performance Modeling in Computing, MATH 211 Calculus III A. Ranking algorithms based on indexes and links (e.g. I've only observed a better parking situation on my last semester and I would arrive to school at around 12. Data Science Capstone II. This course introduces students to the core concepts and skills necessary for the development of games utilizing 2D graphics. Introduction to Artificial Intelligence. Prerequisite: CS114 or equivalent with a grade C or better. Prerequisite: CS492 with a grade C or better. 3 credits, 3 contact hours (3;0;0). This is the most important thing you can gain from any Computer Science degree." CS345. Find the perfect major or degree for you below. Nicholson is still there!? CS 350-002: Introduction to Computer Systems (Revised for Remote Learning) Andrew Sohn Instructor Sohn Document Type Syllabus Course Semester Spring 2020 Department Computer Science Course Number CS 350 Course Section 002 Recommended Citation Sohn, Andrew, "CS 350-002: Introduction to Computer Systems (Revised for Remote Learning)" (2020). NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window. 1. CS114. |, | CS431 | Database System Design and Management | | ------ | ------ | | Professor | Ananya Dass | | Difficulty | | | Notes on Professor | Dass is a really kind and caring professor. The course also presents an overview of selected topics in computing, such as networking and databases. 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. 3 credits, 4 contact hours (3;1;0). Undergraduate Tutoring Spreadsheet. We are pleased to announce that we are rolling out a new final grade entry option using the new roster with student pictures made available earlier this spring. 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. 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. It consists of: (i) A smooth, example-based presentation of the fundamental notions of ML via simple algorithms and visualizable "toy" data sets. 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. Topics include basic concepts of computer systems, software engineering, algorithm design, programming languages and abstraction, with applications. I've made many different Python scripts that automate simple tasks that otherwise would've taken me hours.