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Working with the Java PROGRAMMING DB (Derby) Database - COMPUTER SCIENCE
This document demonstrates how to set up a connection to Java DB database in NetBeans IDE. Once a connection is made, you can begin working with the database in the IDE, allowing you to create tables, populate them with data, run SQL statements and queries, and more. 
The Java DB database is Sun's supported distribution of Apache Derby. Java DB is a fully transactional, secure, standards-based database server, written entirely in Java, and fully supports SQL, JDBC API, and Java EE technology. T...
- Class notes
- • 13 pages •
This document demonstrates how to set up a connection to Java DB database in NetBeans IDE. Once a connection is made, you can begin working with the database in the IDE, allowing you to create tables, populate them with data, run SQL statements and queries, and more. 
The Java DB database is Sun's supported distribution of Apache Derby. Java DB is a fully transactional, secure, standards-based database server, written entirely in Java, and fully supports SQL, JDBC API, and Java EE technology. T...
SCO200 : OBJECT ORIENTED PROGRAMMING II ( COMPUTER SCIENCE )
Students will be expected to: 
1.	Demonstrate knowledge of use of important features of an object-oriented language such as exception handling, polymorphism, operator overloading and inheritances. 
2.	Gain a working knowledge of the Standard Libraries. 
3.	Develop multi-thread applications 
Description/Content 
Coding Graphical user interface: introduction to swing classes, frames, panels, buttons and events, layout managers, labels and text fields, events handling, controls. Menus. Fonts, colo...
- Summary
- • 2 pages •
Students will be expected to: 
1.	Demonstrate knowledge of use of important features of an object-oriented language such as exception handling, polymorphism, operator overloading and inheritances. 
2.	Gain a working knowledge of the Standard Libraries. 
3.	Develop multi-thread applications 
Description/Content 
Coding Graphical user interface: introduction to swing classes, frames, panels, buttons and events, layout managers, labels and text fields, events handling, controls. Menus. Fonts, colo...
Introduction to Swing programming I ( COMPUTER SCIENCE )
JSlider 
You use the JSlider in applications to allow for a change in a numerical value. It's a 
quick and easy way to let users visually get feedback on not only their current 
choice, but also their range of acceptable values. If you think about it, you could 
provide a text field and allow your user to enter a value, but then you'd have the 
added hassle of ensuring that the value is a number and also that it fits in the 
required numerical range. As an example, if you have a financial Web ...
- Class notes
- • 34 pages •
JSlider 
You use the JSlider in applications to allow for a change in a numerical value. It's a 
quick and easy way to let users visually get feedback on not only their current 
choice, but also their range of acceptable values. If you think about it, you could 
provide a text field and allow your user to enter a value, but then you'd have the 
added hassle of ensuring that the value is a number and also that it fits in the 
required numerical range. As an example, if you have a financial Web ...
SCO 113– Foundations of Artificial Intelligence
Humans can be looked upon as agents. They have eyes, ears, skin, taste 
buds, etc. for sensors; and hands, fingers, legs, mouth for effectors. 
2. Robots are agents. Robots may have camera, sonar, infrared, bumper, 
etc. for sensors. They can have grippers, wheels, lights, speakers, etc. 
for actuators. Some examples of robots are Xavier from CMU, COG 
from MIT, etc. 
3. We also have software agents or softbots that have some functions as 
sensors and some functions as actuators. A is an ...
- Class notes
- • 29 pages •
Humans can be looked upon as agents. They have eyes, ears, skin, taste 
buds, etc. for sensors; and hands, fingers, legs, mouth for effectors. 
2. Robots are agents. Robots may have camera, sonar, infrared, bumper, 
etc. for sensors. They can have grippers, wheels, lights, speakers, etc. 
for actuators. Some examples of robots are Xavier from CMU, COG 
from MIT, etc. 
3. We also have software agents or softbots that have some functions as 
sensors and some functions as actuators. A is an ...
Tutorials Point, Simply Easy Learning 1 - Java Database Connectivity ( JDBC ) Tutorial (COMPUTER SCIENCE)
What is JDBC? 
JDBC stands for Java Database Connectivity, which is a standard Java API for databaseindependent connectivity between the Java programming language and a wide range of 
databases. 
The JDBC library includes APIs for each of the tasks commonly associated with database usage: 
 Making a connection to a database 
 Creating SQL or MySQL statements 
 Executing that SQL or MySQL queries in the database 
 Viewing & Modifying the resulting records
- Class notes
- • 27 pages •
What is JDBC? 
JDBC stands for Java Database Connectivity, which is a standard Java API for databaseindependent connectivity between the Java programming language and a wide range of 
databases. 
The JDBC library includes APIs for each of the tasks commonly associated with database usage: 
 Making a connection to a database 
 Creating SQL or MySQL statements 
 Executing that SQL or MySQL queries in the database 
 Viewing & Modifying the resulting records
Uninformed (Blind) Search ( Artificial Intelligence ) - COMPUTER SCIENCE
Blind Searches have no preference as to which 
state (node) that is expanded next 
 The different types of blind searches are 
characterised by the order in which they expand 
the nodes. 
 This can have a dramatic effect on how well the 
search performs when measured against the 
four criteria we defined in an earlier lecture
- Class notes
- • 36 pages •
Blind Searches have no preference as to which 
state (node) that is expanded next 
 The different types of blind searches are 
characterised by the order in which they expand 
the nodes. 
 This can have a dramatic effect on how well the 
search performs when measured against the 
four criteria we defined in an earlier lecture
SCO 113 – Foundations of Artificial Intelligence : COMPUTER SCIENCE
Given this scenario different interpretations have been used by different 
researchers as defining the scope and view of Artificial Intelligence. 
1. One view is that artificial intelligence is about 
designing systems that are as intelligent as humans. 
 This view involves trying to understand human thought and an effort to build machines 
that emulate the human thought process. 
 This view is the cognitive science approach to AI. 
2. The second approach is best embodied by the con...
- Class notes
- • 25 pages •
Given this scenario different interpretations have been used by different 
researchers as defining the scope and view of Artificial Intelligence. 
1. One view is that artificial intelligence is about 
designing systems that are as intelligent as humans. 
 This view involves trying to understand human thought and an effort to build machines 
that emulate the human thought process. 
 This view is the cognitive science approach to AI. 
2. The second approach is best embodied by the con...
COMPUTER & INFORMATION TECHNOLOGY DEPARTMENT BACHELOR OF SCIENCE IN COMPUTERSCIENCE SCO 113 FOUNDATIONS OF ARTIFICIAL INTELLIGENCE
AI Course Overview 
The course provides students with basic knowledge of the theory and practice of Artificial 
Intelligence as a discipline concerning intelligent agents capable of deciding what to do and 
doing it. 
The material covered includes search algorithms, knowledge representation and reasoning, as 
well as a brief introduction to several sub-fields of AI. 
The course objectives are: 
° To have an appreciation for and understanding of both the achievements of AI and the 
theor...
- Summary
- • 2 pages •
AI Course Overview 
The course provides students with basic knowledge of the theory and practice of Artificial 
Intelligence as a discipline concerning intelligent agents capable of deciding what to do and 
doing it. 
The material covered includes search algorithms, knowledge representation and reasoning, as 
well as a brief introduction to several sub-fields of AI. 
The course objectives are: 
° To have an appreciation for and understanding of both the achievements of AI and the 
theor...
Artificial Intelligence (TEST) - COMPUTER SCIENCE
1. Given the following propositions: 
p: Peter is driving his own car. 
a: Andrew is late. 
m: Max has caught the bus. 
(a) Write each of the following in symbols: 
(i) Andrew is late and Peter is driving his own car. 
(ii) Either Max has caught the bus or else Andrew is late. 
(iii) Either Peter is driving his own car and Andrew is late or else Max has 
not caught the bus. 
(iv) Peter is driving his own car and either Andrew is late or else Max has 
caught the bus. 
(v) Max has caught the bus b...
- Exam (elaborations)
- • 1 pages •
1. Given the following propositions: 
p: Peter is driving his own car. 
a: Andrew is late. 
m: Max has caught the bus. 
(a) Write each of the following in symbols: 
(i) Andrew is late and Peter is driving his own car. 
(ii) Either Max has caught the bus or else Andrew is late. 
(iii) Either Peter is driving his own car and Andrew is late or else Max has 
not caught the bus. 
(iv) Peter is driving his own car and either Andrew is late or else Max has 
caught the bus. 
(v) Max has caught the bus b...
SCO105 DATA COMMUNICATION COMPUTER NETWORKING ( Course Outline )
SCO105 DATA COMMUNICATION COMPUTER NETWORKING ( Course Outline )
- Summary
- • 3 pages •
SCO105 DATA COMMUNICATION COMPUTER NETWORKING ( Course Outline )
ATI PN MENTAL HEALTH PROCTORED EXAM 2020