printer friendly pageCS 246: Mining Massive Data Sets
The availability of massive datasets is revolutionizing science and industry. This course discusses data mining and machine learning algorithms for analyzing very large amounts of data. Topics include: Big data systems (Hadoop, Spark); Link Analysis (PageRank, spam detection); Similarity search (locality-sensitive hashing, shingling, min-hashing); Stream data processing; Recommender Systems; Analysis of social-network graphs; Association rules; Dimensionality reduction (UV, SVD, and CUR decompositions); Algorithms for large-scale mining (clustering, nearest-neighbor search); Large-scale machine learning (decision tree ensembles); Multi-armed bandit; Computational advertising. Prerequisites: At least one of CS107 or
CS145.
Terms: Win
| Units: 3-4
| UG Reqs: WAY-FR
Instructors:
Leskovec, J. (PI)
;
Agrawal, A. (TA)
;
Allavarpu, E. (TA)
...
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Instructors:
Leskovec, J. (PI)
;
Agrawal, A. (TA)
;
Allavarpu, E. (TA)
;
Garg, A. (TA)
;
He, B. (TA)
;
Jin, M. (TA)
;
Khurana, A. (TA)
;
Li, Y. (TA)
;
Liu, Y. (TA)
;
Siegel, S. (TA)
;
Zhu, C. (TA)
CS 246H: Mining Massive Data Sets Hadoop Lab
Supplement to
CS 246 providing additional material on the Apache Hadoop family of technologies. Students will learn how to implement data mining algorithms using Hadoop and Apache Spark, how to implement and debug complex data mining and data transformations, and how to use two of the most popular big data SQL tools. Topics: data mining, machine learning, data ingest, and data transformations using Hadoop, Spark, Apache Impala, Apache Hive, Apache Kafka, Apache Sqoop, Apache Flume, Apache Avro, and Apache Parquet. Prerequisite:
CS 107 or equivalent.
Last offered: Winter 2020
CS 247A: Design for Artificial Intelligence (SYMSYS 195A)
A project-based course that builds on the introduction to design in CS147 by focusing on advanced methods and tools for research, prototyping, and user interface design. Studio based format with intensive coaching and iteration to prepare students for tackling real world design problems. This course takes place entirely in studios; you must plan on attending every studio to take this class. The focus of CS247A is design for human-centered artificial intelligence experiences. What does it mean to design for AI? What is HAI? How do you create responsible, ethical, human centered experiences? Let us explore what AI actually is and the constraints, opportunities and specialized processes necessary to create AI systems that work effectively for the humans involved. Prerequisites: CS147 or equivalent background in design thinking. In the event of a waitlist, acceptance to class based on an application provided on the first day of class.
Terms: Aut
| Units: 3-4
Instructors:
Stanford, J. (PI)
;
Nabi, F. (TA)
CS 247B: Design for Behavior Change (SYMSYS 195B)
Over the last decade, tech companies have invested in shaping user behavior, sometimes for altruistic reasons like helping people change bad habits into good ones, and sometimes for financial reasons such as increasing engagement. In this project-based hands-on course, students explore the design of systems, information and interface for human use. We will model the flow of interactions, data and context, and crafting a design that is useful, appropriate and robust. Students will design and prototype utility apps or games as a response to the challenges presented. We will also examine the ethical consequences of design decisions and explore current issues arising from unintended consequences. Prerequisite: CS147 or equivalent.
Terms: Win
| Units: 3-4
CS 247G: Design for Play (SYMSYS 195G)
A project-based course that builds on the introduction to design in CS147 by focusing on advanced methods and tools for research, prototyping, and user interface design. Studio based format with intensive coaching and iteration to prepare students for tackling real world design problems. This course takes place entirely in studios; please plan on attending every studio to take this class. The focus of CS247g is an introduction to theory and practice of game design. We will make digital and paper games, do rapid iteration and run user research studies appropriate to game design. This class has multiple short projects, allowing us to cover a variety of genres, from narrative to pure strategy. Prerequisites: 147 or equivalent background.
Terms: Spr, Sum
| Units: 3-4
Instructors:
Nair, K. (PI)
;
Wodtke, C. (PI)
;
Hoang, N. (TA)
;
Lo, A. (TA)
;
Wang, A. (TA)
;
Xie, A. (TA)
CS 247I: Design for Understanding
Complex problems require nuanced design approaches. In this project-based hands-on course, students explore the design of systems, information and interface for human use. Each quarter we pick a different challenging topic to explore and explain; past classes have included fake news, electoral politics and gender. Students will create an explainer, an information site and a game as a response to the challenges presented. We will model the flow of interactions, data and context, and craft a design that is useful, appropriate and robust. We will also examine the ethical consequences of design decisions and explore current issues arising from unintended consequences. Prerequisite:
CS 147 or equivalent.
Last offered: Autumn 2021
CS 247S: Service Design (SYMSYS 195S)
A project-based course that builds on the introduction to design in CS147 by focusing on advanced methods and tools for research, prototyping, and user interface design. Studio based format with intensive coaching and iteration to prepare students for tackling real world design problems. This course takes place entirely in studios; you must plan on attending every studio to take this class. The focus of CS247S is Service Design. In this course we will be looking at experiences that address the needs of multiple types of stakeholders at different touchpoints - digital, physical, and everything in between. If you have ever taken an Uber, participated in the Draw, engaged with your bank, or ordered a coffee through the Starbucks app, you have experienced a service that must have a coordinated experience for the customer, the service provider, and any other stakeholders involved. Let us explore what specialized tools and processes are required to created these multi-faceted interactions. Prerequisites: CS147 or equivalent background in design thinking. In the event of a waitlist, acceptance to class based on an application provided on the first day of class.
Terms: Win
| Units: 3-4
Instructors:
Stanford, J. (PI)
;
Wong, M. (TA)
CS 248A: Computer Graphics: Rendering, Geometry, and Image Manipulation
This course provides a comprehensive introduction to interactive computer graphics, focusing on fundamental concepts and techniques, as well as their cross-cutting relationship to multiple problem domains in interactive graphics (such as rendering, animation, geometry, image processing). Topics include: 2D and 3D drawing, sampling theory, interpolation, rasterization, image compositing, the real-time GPU graphics pipeline (and parallel rendering), VR rendering, geometric transformations, curves and surfaces, geometric data structures, subdivision, meshing, spatial hierarchies, image processing, time integration, physically-based animation, and inverse kinematics. The course will involve several in-depth programming assignments and a self-selected final project that explores concepts covered in the class. Prerequisite:
CS 107,
MATH 51.
Terms: Win
| Units: 3-4
CS 248B: Fundamentals of Computer Graphics: Animation and Simulation
This course provides a comprehensive introduction to computer graphics, focusing on fundamental concepts and techniques in Computer Animation and Physics Simulation. Topics include numerical integration, 3D character modeling, keyframe animation, skinning/rigging, inverse kinematics, rigid body dynamics, deformable body simulation, and fluid simulation. Prerequisites: CS107 and
MATH51.
Terms: Aut
| Units: 3
CS 249I: The Modern Internet
Advanced networking course that covers how the Internet has evolved and operates today. Topics include modern Internet topology and routing practices, recently introduced network protocols, popular content delivery strategies, and pressing privacy, security, and abuse challenges. The course consists of a mixture of lecture, guest talks, and investigative projects where students will analyze how Internet operates in practice. Prerequisite:
CS 144,
EE 284, or equivalent.
Terms: Win
| Units: 3
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