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Learn the basic concepts and functions that you will need to build fully functional programs with the popular programming language, Java.
This course is about generics in the main. You will lern the basics of generic types, generic methods, type parameters and the theoretical background concerning these topics. This is a fundamental part of Java so it is definitly worth learning.
Learning the fundamentals of Java is a good choice and puts a powerful and tool at your fingertips. Java is easy to learn as well as it has excellent documentation, and is the base for all object-oriented programming languages.
Jobs in java development are plentiful, and being able to learn Java will give you a strong background to more easily pick up other object-oriented languages such as C++, or C#.
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Desktop, iOS and Android.
Certificate of completion.
|Section 1: Introduction|
|Section 2: Basic Generics|
Why to use genericsPreview
Generic types II
Generic methods II
Bounded type parameters
Upper bounded wildcards introduction
Upper bounded wildcards example
Lower bounded wildcards introduction
Lower bounded wildcards example
Type erasure I
Type erasure II
Type erasure III - bridge methods
|Section 3: Collections|
List - ArrayList
List - LinkedList
Queue - ordinary Queue
Queue - PriorityQueue
Deque - ArrayDeque
Map - HashMap
Map - LinkedHashMap
Map - TreeMap
Set - HashSet
Set - LinkedHashSet
Set - TreeSet
Sorting I - sorting arrays
Sorting II - sorting collections
Sorting III - Comparable
Sorting IV - Comparator
|Section 4: Reflection|
What is reflection
Getting private fields and methods
Superclases and interfaces
|Section 5: Source Code|
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My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist and later on I decided to get a master degree in applied mathematics. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model. Quantitative analysts use these algorithms and numerical techniques on daily basis so in my opinion these topics are definitely worth learning.