There are 2000 students in a course. They wrote a mathematics test which was scored out of 40 and then converted to percentage.

1. Draw a flowchart that reads the name, sex and score of each student, and outputs the names of the female students that scored below 45% and how many they are.
2. Write a pseudocode program that reads the name, sex and score of each student, and outputs the names of the female students that scored below 45% and how many they are.

For the code, something like

count=0
for i=1..2000
  with student[i] do {
    read   name,sex,score
    pct = score*5/2
    sub45 = false
    if pct < 45 then
      if sex = "F" then
      count++
      print name
    }
  }
}
print "There were ",count," females scoring below 45%"

1. Flowchart for finding female students with scores below 45%:

[START] -> [Initialize count of female students below 45% to zero]
-> [Read name, sex, and score of a student]
-> [Check if the student is female]
-> [Check if the score is below 45%]
-> [If both conditions are true, output the name of the student]
-> [Increment count of female students below 45% by one]
-> [Repeat the above steps for all students]
-> [Output the count of female students below 45%]
-> [END]

2. Pseudocode for finding female students with scores below 45%:

```
Set count of female students below 45% to zero

For each student in the course:
Read name, sex, and score of the student

If sex is female and score is below 45%:
Output the name of the student
Increment count of female students below 45% by one

Output the count of female students below 45%
```

Explanation:

To solve this problem, we need to iterate over each student in the course, read their name, sex, and score, and then check if they are female and have a score below 45%. If these conditions are met, we output the name of the student and increment the count of female students below 45%. Finally, we output the count of female students below 45%.

The flowchart visually represents the steps involved in the process, while the pseudocode provides a structured and detailed representation of the solution logic.