Answer:
By Using the Greedy- Activity- Selection algorithm
Explanation:
The Greedy- Activity- Selection algorithm in this case involves
First finding a maximum size set S1, of compatible activities from S for the first lecture hall.
Then using it again to find a maximum size set S2 of compatible activities from S - S1 for the second hall.
This is repeated till all the activities are assigned.
It requires θ(n2) time in its worse .
Answer:
it should be the welcome screen I will hope so lol
What did you do when you got to school tomorrow and then again I don't want it
<h3>What is the difference between group and a topic ?</h3>
<h3>Group</h3>
- You can publish a comment or question to the main community feed or to a group of which you are a member. Members with a common interest can form group within the wider community to form a small community around that topic and group posts will only appear in the feeds of other group members, not in the general community feed.
<h3>Topic</h3>
- Topic work similarly to hashtags. Use the "+" symbol to the left of the Post/Ask button to add a topic (tag) to your post or question so that it can be classified along with other related posts and topics are a way to group posts and queries with similar content, but they don’t bring everyone with the same interest together in one place and this is where the groups come in!
Computational thinking- the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can effectively carry out. Computational Thinking is an iterative process based on three stages.
Problem solving process- The process of working through details of a problem to reach a solution. Problem solving may include mathematical or systematic operations and can be a gauge of an individual's critical thinking skills.
Data- facts and statistics collected together for reference or analysis.
Information- facts provided or learned about something or someone.
Algorithm- a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
Aggregate data- aggregate data are data combined from several measurements. When data are aggregated, groups of observations are replaced with summary statistics based on those observations. In a data warehouse, the use of aggregate data dramatically reduces the time to query large sets of data.
Discovery Data- in the context of IT, is the process of extracting actionable patterns from data. The extraction is generally performed by humans or, in certain cases, by artificial intelligence systems.
