Introduction to Collections & Generics in Java
4.6 (370 ratings)
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Introduction to Collections & Generics in Java

A guide to make reusable codes
4.6 (370 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
7,338 students enrolled
Created by Holczer Balazs
Last updated 2/2017
English
Current price: $10 Original price: $50 Discount: 80% off
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Includes:
  • 3.5 hours on-demand video
  • 3 Articles
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What Will I Learn?
Understand the basics of generics
Implement generic algorithms (data structures, graph algorithms etc.)
Understand the basic data structures
View Curriculum
Requirements
  • Eclipse
  • Basic Java ( loops, classes etc. )
Description

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#.

Who is the target audience?
  • This course is meant for newbies who are familiar with Java and want to update their knowledge
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Curriculum For This Course
Expand All 46 Lectures Collapse All 46 Lectures 03:27:23
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Introduction
1 Lecture 01:45
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Basic Generics
17 Lectures 01:28:36


Generic types
09:23

Generic types II
05:26

Generic methods
04:29

Generic methods II
03:19

Bounded type parameters
06:37

Type inference
09:18

Unbounded wildcards
06:33

Upper bounded wildcards introduction
05:42

Upper bounded wildcards example
05:07

Lower bounded wildcards introduction
03:22

Lower bounded wildcards example
06:00

Wildcards summary
02:33

Type erasure I
03:32

Type erasure II
04:28

Type erasure III - bridge methods
03:13
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Collections
18 Lectures 01:36:54
Collections overview
08:18

List - ArrayList
08:42

List - LinkedList
08:14

Vector
04:07

Stack
05:09

Queue - ordinary Queue
06:31

Queue - PriorityQueue
08:33

Deque - ArrayDeque
04:56

Map - HashMap
05:52

Map - LinkedHashMap
02:45

Map - TreeMap
04:16

Set - HashSet
04:14

Set - LinkedHashSet
02:30

Set - TreeSet
02:27

Sorting I - sorting arrays
03:05

Sorting II - sorting collections
03:09

Sorting III - Comparable
08:56

Sorting IV - Comparator
05:10
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Reflection
7 Lectures 19:58
What is reflection
02:11

Get class
03:09

Fields
02:55

Methods
02:53

Getting private fields and methods
02:33

Superclases and interfaces
02:09

Annotations
04:08
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Source Code
3 Lectures 00:09
Slides
00:01

Source code
00:01

Coupon codes - get other courses for a discounted price
00:06
About the Instructor
Holczer Balazs
4.4 Average rating
2,145 Reviews
22,571 Students
19 Courses
Software Engineer

Hi!

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.

Take a look at my website and join my email list if you are interested in these topics!