Browsing Yeshiva College Syllabi -- 2021 - 2022 courses (past versions for reference ONLY) -- COMP SCI (Computer Science) by Title
Now showing items 2-21 of 22
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COM 1320 : Data Structures
(2021-01)Description Data Structures are logical constructs that facilitate organizing and accessing data efficiently. They are also the “raw materials” on which algorithms run. Choosing the right data structures will make or break ... -
COM 1320 : Data Structures
(2021-01)Description Data Structures are logical constructs that facilitate organizing and accessing data efficiently. They are also the “raw materials” on which algorithms run. Choosing the right data structures will make or break ... -
COM 2113: Computer Organization and Assembly Language
(2020-09)Description COM2113 helps you become a better programmer through understanding the basic concepts underlying all computer hardware systems. You need to know what really happens when your programs run, so that when things ... -
COM 2113: Computer Organization and Assembly Language
(Yeshiva College, Yeshiva University, 2022-08)Description COM2113 helps you become a better programmer through understanding the basic concepts underlying all computer hardware systems. You need to know what really happens when your programs run, so that when things ... -
COM 2512: Computer Networks
(2020-09)Prerequisite COM 2113 Computer Organization and Assembly Language; Description COM 2512 covers the operation of computer networks in top-down fashion, starting with the application level and proceeding down the Internet ... -
COM 3571: Data Visualization
(2019-01)Visual representations and tools are widely used in science, business, and government to extract, and effectively share, insights derived from large, dynamic data sets. This use is driven by two realities. First, the ... -
COM 3590: Data Cleaning & Transformation
(2021-01)Description In real-world situations, data scientists must be able to use data from many dirty, autonomous, and heterogeneous data sources that are far from being ready to be analyzed. Preparing the data for analysis ... -
COM 3610: Introduction to Operating Systems
(2021-01)Description An introduction to operating system design and implementation. The operating system provides a well-known, convenient, and efficient interface between user programs and the bare hardware of the computer on ... -
COM 3760: Artificial Intelligence
(2020-09)The course situates the study of Artificial Intelligence (AI) first in the broader context of popular culture, Philosophy of Mind, and Cognitive Psychology and then treats in-depth methods for automated reasoning, automatic ... -
COM 3820: Parallel Programming
(2020)This course will examine basic choices and tradeoffs made in parallel systems, with a strong focus on concurrent programming and parallel algorithm design. -
COM 3910: Mathematical Foundations of Machine Learning
(2020-09)Data science primarily focuses on identifying patterns and information in existing data, and predicting future data values. To become a highly skilled data scientist one must understand, and know how to properly apply, ... -
COM 3920: Machine Learning
(2021-01)Description Machine learning's goal is to develop applications whose accuracy in predicting the value of unknown data improves by examining more and more known data. This course introduces the main principles, algorithms, ... -
COM 3930: Text Analysis and Natural Language Processing
(2021-01)Description Vast amounts of information is created in the form of unstructured data – web pages, social media posts, emails, presentations, analysts’ reports, news content, etc. The ability to extract useful information ... -
COM 4580H : Cybersecurity
(2021-01)Course Objectives This course gives an in-depth survey of the ever-changing front lines of the battle to secure computer-based information, along with a chance to experiment with offensive and defensive security techniques ... -
COM1300: Introduction to Computer Science
(2020-09)This course is both an Introduction to “Computer Science” and an Introduction to “Programming”. Students will get a sense of the sort of problems that can be solved using a computer, get experience writing computer programs ... -
COM2545: Algorithms
(Yeshiva College, Yeshiva University, 2022-08)COM 2545 - Algorithms Sorts (insertion sort, merge sort, heap sort and quicksort); growth of functions and recurrences; hash tables; binary search trees and red-black trees; Huffman codes; graph algorithms including minimum ... -
COM2545: Introduction to Algorithm
(2020-09) -
COM3563: Database Implementation
(Yeshiva College, Yeshiva University, 2022-08)Goals of DBMS, including data independence, relationships, logical and physical organization, schema and subschema; hierarchical, network, and relational modes; examples of implementation of various models; first, second, ... -
COM3800: Intro to Distributed Systems
(2019-09)Distributed systems enable the aggregation of many networked computers to construct highly available and scalable services. This course will introduce the core challenges of, and approaches to, building distributed systems. ... -
COM4010: Machine Learning Applied
(Yeshiva College, Yeshiva University, 2022-08)COM 4010 - Machine Learning Applied Data Science lies at the intersection of mathematical modeling, software engineering, Artificial Intelligence, and data management. This course is designed to provide a hands-on end-to-end ...