COMPTNG 10B · PIC 10BIntermediate Programming
Program in Computing · 4 units · Undergraduate lower division (0-99)
Object oriented programming in C++; operator overloading; memory management, copy and move constructors, copy and move assignment operators, destructors; iterators; data structures and their implementation, linked lists, binary search trees; inheritance and polymorphism; recursion, algorithms for sorting and searching.
P/NP or letter grading.
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Requisites
Official UCLA wording
Requisite: course 10A or Computer Science 31.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
COMPTNG 10B
- COMPTNG 10AIntroduction to Programming
- COM SCI 31Introduction to Computer Science I
2 direct requisites. The whole upstream is here — 2 courses over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
COMPTNG 10B
- LING 185AComputational Linguistics I
- COM SCI C121Probabilistic Models in Computational Genomics
- EC ENGR M146Introduction to Machine Learning
- STATS C163Generative Data Science
- COM SCI C122Algorithms in Computational Genomics
- COM SCI C124Machine Learning Applications in Genetics
- COM SCI 143Data Management Systems
- COM SCI 144Web Applications
- COM SCI 240ADatabases and Knowledge Bases
- COM SCI 240BAdvanced Data and Knowledge Bases
- COM SCI 241BPictorial and Multimedia Database Management
- COM SCI 245Big Data Analytics
- COM SCI 246Web Information Management
- COM SCI M146Introduction to Machine Learning
- COM SCI C160FFoundation Models: Principles and Practice
- COM SCI 162Natural Language Processing
- COM SCI 247Advanced Data Mining
- COM SCI C260FFoundation Models: Principles and Practice
- COM SCI 261Deep Generative Models
- COM SCI 168Computational Methods for Medical Imaging
- COMPTNG 110Parallel and Distributed Computing
- CH ENGR M148Introduction to Data Science
- COMPTNG 130Cryptography
- COM SCI M148Introduction to Data Science
- COM SCI 163Deep Learning for Computer Vision
- COMM 153Introduction to Data Science
- EC ENGR M148Introduction to Data Science
- PSYCH 186ACognitive Science Laboratory: Introduction to Theory and Simulation
- COMM 155Artificial Intelligence and New Media
- PSYCH 186BCognitive Science Laboratory: Neural Networks
10 courses list this as a requisite. Showing 39 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.