Vad är computer science berkeley

Terms offered: Spring 2025, Fall 2024, Summer 2024 8 Week möte, Fall 2023, Spring 2023, Fall 2022, Spring 2022, Fall 2021, Summer 2021 8 Week möte, Fall 2020
Foundations of uppgifter science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given information arising from some real-world phenomenon, how does one analyze that information so as to understand that phenomenon?

The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic information, document collections, geographical uppgifter, and social networks. It delves into social and legal issues surrounding information analysis, including issues of privacy and uppgifter ownership.
Foundations of information Science: Read More [+]

Terms offered: Spring 2025, Fall 2024, Summer 2024 8 Week Session
An introductory course for students with minimal prior exposure to computer science.

Prepares students for future computer science courses and empowers them to utilize programming to solve problems in their field of study. Presents an overview of the history, great principles, and transformative applications of computer science, as well as a comprehensive introduction to programming. Topics include abstraction, recursion, algorithmic complexity, higher-order functions, concurrency, social implications of computing (privacy, education, algorithmic bias), and fängslande research areas (data science, AI, HCI).

Students will schema in Snap! (a friendly graphical language) and Python, and will design and implement two projects of their choice.
The Beauty and Joy of Computing: Read More [+]

Terms offered: Fall 2012
This course meets the programming prerequisite for 61A. An introduction to the beauty and joy of computing. The history, social implications, great principles, and future of computing. Beautiful applications that have changed the world.

How computing empowers upptäckt and progress in other fields.

Relevance of computing to the lärjunge and gemenskap will be emphasized. Students will learn the joy of programming a computer using a friendly, graphical language, and will complete a substantial grupp programming project related to their interests.
The Beauty and Joy of Computing: Read More [+]

Terms offered: Fall 2019, Fall 2018, Spring 2018
Computer Science 36 fryst vatten a seminar for CS Scholars who are concurrently taking CS61A: The Structure and Interpretation of Computer Programs. CS Scholars fryst vatten a cohort-model schema to provide support in exploring and potentially declaring a CS major for students with little to no computational background prior to coming to the university.

CS 36 provides an introduction to the CS curriculum at UC Berkeley, and the overall CS landscape in both industry and academia—through the lens of accessibility and its relevance to diversity. Additionally, CS36 provides technical instruction to review concepts in CS61A, in beställning to support CS Scholars’ individual learning and success in the CS61A course.
CS Scholars Seminar: The Educational Climate in CS & CS61A technical discussions: Read More [+]

Terms offered: Spring 2025, Fall 2023, Spring 2022
Freshman and sophomore seminars offer lower division students the opportunity to explore an intellectual topic with a faculty member and a group of peers in a small-seminar setting.

These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Enrollment limits are set bygd the faculty, but the suggested limit fryst vatten 25.
Freshman/Sophomore Seminar: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2024
Implementation of generic operations. Streams and iterators. Implementation techniques for supporting functional, object-oriented, and constraint-based programming in the Scheme programming language.

tillsammans with 9D, 47A constitutes an abbreviated, self-paced utgåva of 61A for students who have already taken a course equivalent to 61B.
Completion of Work in Computer Science 61A: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2024
Iterators. Hashing, applied to strings and multi-dimensional structures. Heaps. Storage management. Design and implementation of a schema containing hundreds of lines of code.

Students who have completed a portion of the subject matter of COMPSCI 61B may, with consent of instructor, complete COMPSCI 61B in this self-paced course.

Please note that students in the College of Engineering are required to receive additional permission from the College as well as the EECS department for the course to count in place of COMPSCI 61B.
Completion of Work in Computer Science 61B: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2024
MIPS instruction set simulation. The assembly and linking process. Caches and virtual memory. Pipelined computer organization.

Students with sufficient partial kredit in 61C may, with consent of instructor, complete the kredit in this self-paced course.
Completion of Work in Computer Science 61C: Read More [+]

Terms offered: Spring 2025, Fall 2024, Summer 2024 8 Week Session
An introduction to programming and computer science focused on abstraction techniques as means to manage schema complexity.

Techniques include procedural abstraction; control abstraction using recursion, higher-order functions, generators, and streams; uppgifter abstraction using interfaces, objects, classes, and generic operators; and language abstraction using interpreters and macros. The course exposes students to programming paradigms, including functional, object-oriented, and declarative approaches.

It includes an introduction to asymptotic analysis of algorithms. There are several significant programming projects.
The Structure and Interpretation of Computer Programs: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2024
Fundamental dynamic uppgifter structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables.

Storage management.

Elementary principles of software engineering. sammanfattning information types. Algorithms for sorting and searching. Introduction to the Java programming language.
Data Structures: Read More [+]

Terms offered: Spring 2025, Fall 2024, Summer 2024 8 Week Session
The internal organization and operation of digital computers. Machine architecture, support for high-level languages (logic, arithmetic, instruction sequencing) and operating systems (I/O, interrupts, memory management, process switching).

Elements of computer logic design. Tradeoffs involved in fundamental architectural design decisions.
Great Ideas of Computer Architecture (Machine Structures): Read More [+]

Terms offered: Summer 2019 8 Week Session
An introduction to programming and computer science focused on abstraction techniques as means to manage schema complexity. Techniques include procedural abstraction; control abstraction using recursion, higher-order functions, generators, and streams; uppgifter abstraction using interfaces, objects, classes, and generic operators; and language abstraction using interpreters and macros.

The course exposes students to programming paradigms, including functional, object-oriented, and declarative approaches. It includes an introduction to asymptotic analysis of algorithms. There are several significant programming projects.
The Structure and Interpretation of Computer Programs (Online): Read More [+]

Terms offered: Spring 2025, Fall 2024, Summer 2024 8 Week Session
Logic, infinity, and induction; applications include undecidability and stable marriage bekymmer.

Modular arithmetic and GCDs; applications include primality testing and cryptography. Polynomials; examples include error correcting codes and inskjutning. Probability including sample spaces, independence, random variables, lag of large numbers; examples include load balancing, existence arguments, Bayesian inference.
Discrete Mathematics and Probability Theory: Read More [+]

Terms offered: Fall 2007
Sophomore seminars are small interactive courses offered bygd faculty members in departments all across the campus. Sophomore seminars offer opportunity for close, regular intellectual contact between faculty members and students in the crucial second year.

The topics vary from department to department and semester to semester. Enrollment limited to 15 sophomores.
Sophomore Seminar: Read More [+]

Terms offered: Spring 2025, Fall 2024, Summer 2024 8 Week möte, Spring 2023, Fall 2022
Development of Computer Science topics appearing in Foundations of uppgifter Science (C8); expands computational concepts and techniques of abstraction. Understanding the structures that underlie the programs, algorithms, and languages used in information science and elsewhere.

Mastery of a particular programming language while studying general techniques for managing schema complexity, e.g., functional, object-oriented, and declarative programming. Provides practical experience with composing larger systems through several significant programming projects.
Computational Structures in uppgifter Science: Read More [+]

Terms offered: Spring 2025, Fall 2024, Summer 2024 8 Week möte, Spring 2024, Fall 2022, Fall 2021, Fall 2020
In this course, students will explore the uppgifter science lifecycle, including question formulation, uppgifter collection and cleaning, exploratory uppgifter analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle.

These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative uppgifter visualizations; statistical concepts of measurement error and prediction; and techniques for scalable information processing.
Principles & Techniques of information Science: Read More [+]

Terms offered: Spring 2025, Spring 2024, Spring 2023
Instruction set architecture, microcoding, pipelining (simple and complex).

Memory hierarchies and virtual memory. Processor parallelism: VLIW, vectors, multithreading. Multiprocessors.
Computer Architecture and Engineering: Read More [+]

Terms offered: Spring 2025, Summer 2024 8 Week möte, Spring 2024
The design, implementation, and evaluation of user interfaces. User-centered design and task analysis.

Conceptual models and interface metaphors. Usability inspection and evaluation methods. Analysis of user study uppgifter. Input methods (keyboard, pointing, touch, tangible) and input models. Visual design principles. Interface prototyping and implementation methodologies and tools. Students will develop a user interface for a specific task and mål user group in teams.
User Interface Design and Development: Read More [+]

Terms offered: Spring 2025, Fall 2024, Summer 2024 8 Week Session
Introduction to computer säkerhet. Cryptography, including encryption, authentication, hash functions, cryptographic protocols, and applications.

Operating struktur säkerhet, tillgång control. Network säkerhet, firewalls, viruses, and worms. Software säkerhet, defensive programming, and language-based säkerhet. Case studies from real-world systems.
Computer Security: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2024
Basic concepts of operating systems and struktur programming. Utility programs, subsystems, multiple-program systems. Processes, interprocess communication, and synchronization.

Memory allocation, segmentation, paging. Loading and linking, libraries. Resource allocation, scheduling, performance evaluation. en samling dokument eller en elektronisk lagring av data systems, storage devices, I/O systems. Protection, säkerhet, and privacy.
Operating Systems and struktur Programming: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2024
Survey of programming languages.

The design of modern programming languages. Principles and techniques of scanning, parsing, semantic analysis, and code generation. Implementation of compilers, interpreters, and assemblers. Overview of run-time organization and error handling.
Programming Languages and Compilers: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2024
This course fryst vatten an introduction to the Internet architecture.

We will focus on the concepts and fundamental design principles that have contributed to the Internet's scalability and robustness and survey the various protocols and algorithms used within this architecture. Topics include layering, addressing, intradomain routing, interdomain routing, reliable delivery, congestion control, and the core protocols (e.g., TCP, UDP, IP, DNS, and HTTP) and network technologies (e.g., Ethernet, wireless).
Introduction to the Internet: Architecture and Protocols: Read More [+]

Terms offered: Fall 2024, Summer 2024 8 Week möte, Fall 2023
Ideas and techniques for formgivning, developing, and modifying large software systems.

Service-oriented architecture, behavior-driven design with user stories, cloud computing, test-driven development, automated testing, cost and quality metrics for maintainability and effort uppskattning, practical performance and säkerhet in software operations, design patterns and refactoring, specification and documentation, agile project grupp organization and management.
Introduction to Software Engineering: Read More [+]

Terms offered: Spring 2025, Spring 2024, Spring 2023
Open-ended design project enhancing or creating software for real customers in an agile grupp setting. Teamwork coordination, effective customer meetings, pre- and post-iteration grupp meetings, running scrums and standups, technical communication.

Contributing as a grupp to an open-source project; tools and workflows associated with open source collaboration, including fork-and-pull, rebase, upstream merge, continuous deployment & integration.
Software Engineering grupp Project: Read More [+]

Terms offered: Summer 2021 8 Week möte, Fall 2020, Summer 2020 8 Week Session
This course presents ideas and techniques for formgivning, developing, and modifying large software systems using Agile techniques and tools.

Topics include: function-oriented and object-oriented modular design techniques, formgivning for re-use and maintainability including proper use of design patterns, behavior-driven design, test-driven development, user stories for requirements elicitation & documentation, verification and validation, cost and quality metrics and uppskattning, project grupp organization and management, analyzing and refactoring legacy code.
Software Engineering: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2024
Concept and basic techniques in the design and analysis of algorithms; models of computation; lower bounds; algorithms for optimum search trees, balanced trees and UNION-FIND algorithms; numerical and algebraic algorithms; combinatorial algorithms.

datorteknologi machines, how to count steps, deterministic and nondeterministic datorteknologi machines, NP-completeness. Unsolvable and intractable problems.
Efficient Algorithms and Intractable Problems: Read More [+]

Terms offered: Spring 2024, Spring 2021
Cryptography or kryptografi fryst vatten the science of formgivning algorithms and protocols for enabling parties to communicate and compute securely in an untrusted environment (e.g.

secure communication, digital signature, etc.) Over the gods kvartet decades, cryptography has transformed from an ad hoc collection of mysterious tricks into a rigorous science based on firm complexity-theoretic foundations. This modern complexity-theoretic approach to cryptography will be the focus. E.g., in the context of encryption we will begin bygd giving a precise mathematical definition for what it means to be a secure encryption scheme and then give a construction (realizing this säkerhet notion) assuming various computational hardness assumptions (e.g.

factoring).
Cryptography: Read More [+]

Terms offered: Fall 2024, Fall 2022, Spring 2022
Finite automata, datorteknologi machines and RAMs. Undecidable, exponential, and polynomial-time problems. Polynomial-time equivalence of all reasonable models of computation. Nondeterministic datorteknologi machines.

Theory of NP-completeness: Cook's theorem, NP-completeness of basic problems. Selected topics in language theory, complexity and randomness.
Computability and Complexity: Read More [+]

Terms offered: Spring 2025, Spring 2023, Spring 2022
Permutations, combinations, principle of inclusion and exclusion, generating functions, Ramsey theory.

Expectation and variance, Chebychev's inequality, Chernov bounds. Birthday motsägelse, coupon collector's bekymmer, Markov chains and entropy computations, universal hashing, random number generation, random graphs and probabilistic existence bounds.
Combinatorics and Discrete Probability: Read More [+]

Terms offered: Fall 2020, Fall 2018, Fall 2017
Algorithms and probabilistic models that arise in various computational biology applications: suffix trees, suffix arrays, pattern matching, repeat finding, sequence justering, phylogenetics, genome rearrangements, hidden Markov models, gene finding, motif finding, stochastic context free grammars, RNA secondary structure.

There are no biology prerequisites for this course, but a strong quantitative background will be essential.
Algorithms for Computational Biology: Read More [+]

Terms offered: Spring 2025, Fall 2022
This course will provide familiarity with algorithms and probabilistic models that arise in various computational biology applications, such as suffix trees, suffix arrays, pattern matching, repeat finding, sequence anpassning, phylogenetics, hidden Markov models, gene finding, motif finding, linear/logistic regression, random forests, convolutional neural networks, genome-wide association studies, pathogenicity prediction, and sequence-to-epigenome prediction.
Algorithms for Computational Biology: Read More [+]

Terms offered: Spring 2025, Spring 2024
The class provides an introduction to algorithmic questions in economic design. The class will cover problems of public goods and social choice, as well as allocative questions and private consumption.

The focus fryst vatten on normative questions: From the perspective of social goals, these are efficiency, fairness, and equity. In terms of private goals, the focus fryst vatten on revenue maximization. The course will cover voting, fair division, pricing and marknad mechanisms. There fryst vatten an emphasis on the algorithmic questions that arise naturally in economic design.
Algorithmic Economics: Read More [+]

Rules & Requirements

Prerequisites: Students should be comfortable with formal mathematical proofs, and will be expected to write proofs on their own

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Computer Science/Undergraduate

Grading/Final exam status: Letter grade.

sista exam required.

Also listed as: ECON C147

Algorithmic Economics: Read Less [-]

Terms offered: Fall 2024, Fall 2023
This advanced undergraduate course introduces students to computing with visual uppgifter (images and video). We will cover acquisition, representation, and manipulation of visual data from digital photographs (image processing), image analysis and visual understanding (computer vision), and image synthesis (computational photography).

Key algorithms will be presented, ranging from classical to contemporary, with an emphasis on using these techniques to build practical systems. The hands-on emphasis will be reflected in the programming assignments, where students will acquire their own images and develop, largely from scratch, image analysis and synthesis tools for real-world applications.
Intro to Computer framtidsperspektiv and Computational Photography: Read More [+]

Terms offered: Spring 2025, Fall 2024, Spring 2008, Spring 2007
Deep Networks have revolutionized computer framtidsperspektiv, language technology, robotics and control. They have growing impact in many other areas of science and engineering.

They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling,
practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Designing, Visualizing and Understanding Deep Neural Networks: Read More [+]

Terms offered: Spring 2025, Spring 2024, Spring 2023
Techniques of modeling objects for the purpose of computer rendering: boundary representations, constructive solids geometry, hierarchical en plats där en händelse inträffar ofta inom teater eller film descriptions.

Mathematical techniques for curve and surface representation. Basic elements of a computer graphics rendering pipeline; architecture of modern graphics display devices. Geometrical transformations such as cirkelrörelse, scaling, translation, and their matrix representations. Homogeneous coordinates, projective and perspective transformations. Algorithms for clipping, hidden surface removal, rasterization, and anti-aliasing.

Scan-line based and ray-based rendering algorithms. Lighting models for reflection, refraction, transparency.