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Undergraduate topics in computer science

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Undergraduate topics in computer science

Material type
図書
Author
-
Publisher
Springer
Publication date
-
Material Format
Paper
Capacity, size, etc.
24 cm
NDC
-
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Paper

Material Type
図書
Publication, Distribution, etc.
Size
24 cm
Alternative Title
UTiCS
Place of Publication (Country Code)
uk
Target Audience
一般
Related Material
Programming languages : principles and paradigms
Fundamentals of discrete math for computer science : a problem-solving primer
Introduction to computer graphics : using Java 2D and 3D
Mathematics for computer graphics
Introduction to HPC with MPI for data science
Principles of digital image processing : core algorithms
A concise introduction to software engineering
A concise introduction to data compression
Elements of computer security
Concise guide to formal methods : theory, fundamentals and industry applications
Concise guide to databases : a practical introduction
Principles of digital image processing : advanced methods
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A concise introduction to languages and machines
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Concise guide to software engineering : from fundamentals to application methods
Basic graph theory
Introduction to compiler design
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Models of computation : an introduction to computability theory
Communications and networking : an introduction
Concise guide to formal methods : theory, fundamentals and industry applications
Data structures and algorithms with Python
Foundations of programming languages
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Proofs and algorithms : an introduction to logic and computability
Guide to competitive programming : learning and improving algorithms through contests
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Semantics with applications : an appetizer
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Sets, logic and maths for computing
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Discrete mathematics and graph theory : a concise study companion and guide
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Core data analysis : summarization, correlation, and visualization
Concise guide to databases : a practical introduction
Statistics for data scientists : an introduction to probability, statistics, and data analysis
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Automata theory and formal languages : fundamental notions, theorems, and techniques
Limits of computation : from a programming perspective
Embedded operating systems : a practical approach
OCaml scientific computing : functional programming in data science and artificial intelligence
Principles of data mining
Algebraic graph algorithms : a practical guide using Python
Programming languages : principles and paradigms
Introduction to data science : a Python approach to concepts, techniques and applications
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